Closed automator-metatlas closed 3 years ago
MATLAB is selecting SOFTWARE OPENGL rendering. < M A T L A B (R) > Copyright 1984-2020 The MathWorks, Inc. R2020b Update 3 (9.9.0.1538559) 64-bit (glnxa64) November 23, 2020 To get started, type doc. For product information, visit www.mathworks.com. _____ _____ _____ _____ _____ | / ___| / _ \ | _ \ | _ \ / ___ \ | COnstraint-Based Reconstruction and Analysis | | | | | | | |_| | | |_| | | |___| | | The COBRA Toolbox - 2021 | | | | | | | _ { | _ / | ___ | | | |___ | |_| | | |_| | | | \ \ | | | | | Documentation: \_____| \_____/ |_____/ |_| \_\ |_| |_| | http://opencobra.github.io/cobratoolbox | > Checking if git is installed ... Done (version: 2.25.1). > Checking if the repository is tracked using git ... Done. > Checking if curl is installed ... Done. > Checking if remote can be reached ... Done. > Initializing and updating submodules (this may take a while)... Done. > Adding all the files of The COBRA Toolbox ... Done. > Define CB map output... set to svg. > TranslateSBML is installed and working properly. > Configuring solver environment variables ... - [----] ILOG_CPLEX_PATH: --> set this path manually after installing the solver ( see https://opencobra.github.io/cobratoolbox/docs/solvers.html ) - [----] GUROBI_PATH: --> set this path manually after installing the solver ( see https://opencobra.github.io/cobratoolbox/docs/solvers.html ) - [----] TOMLAB_PATH: --> set this path manually after installing the solver ( see https://opencobra.github.io/cobratoolbox/docs/solvers.html ) - [----] MOSEK_PATH: --> set this path manually after installing the solver ( see https://opencobra.github.io/cobratoolbox/docs/solvers.html ) Done. > Checking available solvers and solver interfaces ... Done. > Setting default solvers ... Done. > Saving the MATLAB path ... Done. - The MATLAB path was saved as ~/pathdef.m. > Summary of available solvers and solver interfaces Support LP MILP QP MIQP NLP ---------------------------------------------------------------------- gurobi active 1 1 1 1 - ibm_cplex active 0 0 0 0 - tomlab_cplex active 0 0 0 0 - glpk active 1 1 - - - mosek active 0 - 0 - - matlab active 0 - - - 0 pdco active 1 - 1 - - quadMinos active 0 - - - - dqqMinos active 0 - 0 - - cplex_direct active 0 0 0 - - cplexlp active 0 - - - - qpng passive - - 1 - - tomlab_snopt passive - - - - 0 lp_solve legacy 1 - - - - ---------------------------------------------------------------------- Total - 4 2 3 1 0 + Legend: - = not applicable, 0 = solver not compatible or not installed, 1 = solver installed. > You can solve LP problems using: 'gurobi' - 'glpk' - 'pdco' > You can solve MILP problems using: 'gurobi' - 'glpk' > You can solve QP problems using: 'gurobi' - 'pdco' > You can solve MIQP problems using: 'gurobi' > You can solve NLP problems using: > Checking for available updates ... > There are 7848 new commit(s) on <master> and 0 new commit(s) on <develop> [800dcf @ master] > You can update The COBRA Toolbox by running updateCobraToolbox() (from within MATLAB). Converting COBRA structure to RAVEN.. Getting enzyme codes: Ready with rxn 100 Getting enzyme codes: Ready with rxn 200 Getting enzyme codes: Ready with rxn 300 Getting enzyme codes: Ready with rxn 400 Getting enzyme codes: Ready with rxn 500 Getting enzyme codes: Ready with rxn 600 Getting enzyme codes: Ready with rxn 700 Getting enzyme codes: Ready with rxn 800 Getting enzyme codes: Ready with rxn 900 Getting enzyme codes: Ready with rxn 1000 Getting enzyme codes: Ready with rxn 1100 Getting enzyme codes: Ready with rxn 1200 Getting enzyme codes: Ready with rxn 1300 Getting enzyme codes: Ready with rxn 1400 Getting enzyme codes: Ready with rxn 1500 Getting enzyme codes: Ready with rxn 1600 Getting enzyme codes: Ready with rxn 1700 Getting enzyme codes: Ready with rxn 1800 Getting enzyme codes: Ready with rxn 1900 Getting enzyme codes: Ready with rxn 2000 Getting enzyme codes: Ready with rxn 2100 Getting enzyme codes: Ready with rxn 2200 Getting enzyme codes: Ready with rxn 2300 Getting enzyme codes: Ready with rxn 2400 Getting enzyme codes: Ready with rxn 2500 Getting enzyme codes: Ready with rxn 2600 Getting enzyme codes: Ready with rxn 2700 Getting enzyme codes: Ready with rxn 2800 Getting enzyme codes: Ready with rxn 2900 Getting enzyme codes: Ready with rxn 3000 Getting enzyme codes: Ready with rxn 3100 Getting enzyme codes: Ready with rxn 3200 Getting enzyme codes: Ready with rxn 3300 Getting enzyme codes: Ready with rxn 3400 Getting enzyme codes: Ready with rxn 3500 Getting enzyme codes: Ready with rxn 3600 Getting enzyme codes: Ready with rxn 3700 Getting enzyme codes: Ready with rxn 3800 Getting enzyme codes: Ready with rxn 3900 Getting enzyme codes: Ready with rxn 4000 Getting enzyme codes: Ready with rxn 4053 Matching kcats: Ready with rxn 10 Matching kcats: Ready with rxn 20 Matching kcats: Ready with rxn 30 Matching kcats: Ready with rxn 40 Matching kcats: Ready with rxn 50 Matching kcats: Ready with rxn 60 Matching kcats: Ready with rxn 70 Matching kcats: Ready with rxn 80 Matching kcats: Ready with rxn 90 Matching kcats: Ready with rxn 100 Matching kcats: Ready with rxn 110 Matching kcats: Ready with rxn 120 Matching kcats: Ready with rxn 130 Matching kcats: Ready with rxn 140 Matching kcats: Ready with rxn 150 Matching kcats: Ready with rxn 160 Matching kcats: Ready with rxn 170 Matching kcats: Ready with rxn 180 Matching kcats: Ready with rxn 190 Matching kcats: Ready with rxn 200 Matching kcats: Ready with rxn 210 Matching kcats: Ready with rxn 220 Matching kcats: Ready with rxn 230 Matching kcats: Ready with rxn 240 Matching kcats: Ready with rxn 250 Matching kcats: Ready with rxn 260 Matching kcats: Ready with rxn 270 Matching kcats: Ready with rxn 280 Matching kcats: Ready with rxn 290 Matching kcats: Ready with rxn 300 Matching kcats: Ready with rxn 310 Matching kcats: Ready with rxn 320 Matching kcats: Ready with rxn 330 Matching kcats: Ready with rxn 340 Matching kcats: Ready with rxn 350 Matching kcats: Ready with rxn 360 Matching kcats: Ready with rxn 370 Matching kcats: Ready with rxn 380 Matching kcats: Ready with rxn 390 Matching kcats: Ready with rxn 400 Matching kcats: Ready with rxn 410 Matching kcats: Ready with rxn 420 Matching kcats: Ready with rxn 430 Matching kcats: Ready with rxn 440 Matching kcats: Ready with rxn 450 Matching kcats: Ready with rxn 460 Matching kcats: Ready with rxn 470 Matching kcats: Ready with rxn 480 Matching kcats: Ready with rxn 490 Matching kcats: Ready with rxn 500 Matching kcats: Ready with rxn 510 Matching kcats: Ready with rxn 520 Matching kcats: Ready with rxn 530 Matching kcats: Ready with rxn 540 Matching kcats: Ready with rxn 550 Matching kcats: Ready with rxn 560 Matching kcats: Ready with rxn 570 Matching kcats: Ready with rxn 580 Matching kcats: Ready with rxn 590 Matching kcats: Ready with rxn 600 Matching kcats: Ready with rxn 610 Matching kcats: Ready with rxn 620 Matching kcats: Ready with rxn 630 Matching kcats: Ready with rxn 640 Matching kcats: Ready with rxn 650 Matching kcats: Ready with rxn 660 Matching kcats: Ready with rxn 670 Matching kcats: Ready with rxn 680 Matching kcats: Ready with rxn 690 Matching kcats: Ready with rxn 700 Matching kcats: Ready with rxn 710 Matching kcats: Ready with rxn 720 Matching kcats: Ready with rxn 730 Matching kcats: Ready with rxn 740 Matching kcats: Ready with rxn 750 Matching kcats: Ready with rxn 760 Matching kcats: Ready with rxn 770 Matching kcats: Ready with rxn 780 Matching kcats: Ready with rxn 790 Matching kcats: Ready with rxn 800 Matching kcats: Ready with rxn 810 Matching kcats: Ready with rxn 820 Matching kcats: Ready with rxn 830 Matching kcats: Ready with rxn 840 Matching kcats: Ready with rxn 850 Matching kcats: Ready with rxn 860 Matching kcats: Ready with rxn 870 Matching kcats: Ready with rxn 880 Matching kcats: Ready with rxn 890 Matching kcats: Ready with rxn 900 Matching kcats: Ready with rxn 910 Matching kcats: Ready with rxn 920 Matching kcats: Ready with rxn 930 Matching kcats: Ready with rxn 940 Matching kcats: Ready with rxn 950 Matching kcats: Ready with rxn 960 Matching kcats: Ready with rxn 970 Matching kcats: Ready with rxn 980 Matching kcats: Ready with rxn 990 Matching kcats: Ready with rxn 1000 Matching kcats: Ready with rxn 1010 Matching kcats: Ready with rxn 1020 Matching kcats: Ready with rxn 1030 Matching kcats: Ready with rxn 1040 Matching kcats: Ready with rxn 1050 Matching kcats: Ready with rxn 1060 Matching kcats: Ready with rxn 1070 Matching kcats: Ready with rxn 1080 Matching kcats: Ready with rxn 1090 Matching kcats: Ready with rxn 1100 Matching kcats: Ready with rxn 1110 Matching kcats: Ready with rxn 1120 Matching kcats: Ready with rxn 1130 Matching kcats: Ready with rxn 1140 Matching kcats: Ready with rxn 1150 Matching kcats: Ready with rxn 1160 Matching kcats: Ready with rxn 1170 Matching kcats: Ready with rxn 1180 Matching kcats: Ready with rxn 1190 Matching kcats: Ready with rxn 1200 Matching kcats: Ready with rxn 1210 Matching kcats: Ready with rxn 1220 Matching kcats: Ready with rxn 1230 Matching kcats: Ready with rxn 1240 Matching kcats: Ready with rxn 1250 Matching kcats: Ready with rxn 1260 Matching kcats: Ready with rxn 1270 Matching kcats: Ready with rxn 1280 Matching kcats: Ready with rxn 1290 Matching kcats: Ready with rxn 1300 Matching kcats: Ready with rxn 1310 Matching kcats: Ready with rxn 1320 Matching kcats: Ready with rxn 1330 Matching kcats: Ready with rxn 1340 Matching kcats: Ready with rxn 1350 Matching kcats: Ready with rxn 1360 Matching kcats: Ready with rxn 1370 Matching kcats: Ready with rxn 1380 Matching kcats: Ready with rxn 1390 Matching kcats: Ready with rxn 1400 Matching kcats: Ready with rxn 1410 Matching kcats: Ready with rxn 1420 Matching kcats: Ready with rxn 1430 Matching kcats: Ready with rxn 1440 Matching kcats: Ready with rxn 1450 Matching kcats: Ready with rxn 1460 Matching kcats: Ready with rxn 1470 Matching kcats: Ready with rxn 1480 Matching kcats: Ready with rxn 1490 Matching kcats: Ready with rxn 1500 Matching kcats: Ready with rxn 1510 Matching kcats: Ready with rxn 1520 Matching kcats: Ready with rxn 1530 Matching kcats: Ready with rxn 1540 Matching kcats: Ready with rxn 1550 Matching kcats: Ready with rxn 1560 Matching kcats: Ready with rxn 1570 Matching kcats: Ready with rxn 1580 Matching kcats: Ready with rxn 1590 Matching kcats: Ready with rxn 1600 Matching kcats: Ready with rxn 1610 Matching kcats: Ready with rxn 1620 Matching kcats: Ready with rxn 1630 Matching kcats: Ready with rxn 1640 Matching kcats: Ready with rxn 1650 Matching kcats: Ready with rxn 1660 Matching kcats: Ready with rxn 1670 Matching kcats: Ready with rxn 1680 Matching kcats: Ready with rxn 1690 Matching kcats: Ready with rxn 1700 Matching kcats: Ready with rxn 1710 Matching kcats: Ready with rxn 1720 Matching kcats: Ready with rxn 1730 Matching kcats: Ready with rxn 1740 Matching kcats: Ready with rxn 1750 Matching kcats: Ready with rxn 1760 Matching kcats: Ready with rxn 1770 Matching kcats: Ready with rxn 1780 Matching kcats: Ready with rxn 1790 Matching kcats: Ready with rxn 1800 Matching kcats: Ready with rxn 1810 Matching kcats: Ready with rxn 1820 Matching kcats: Ready with rxn 1830 Matching kcats: Ready with rxn 1840 Matching kcats: Ready with rxn 1850 Matching kcats: Ready with rxn 1860 Matching kcats: Ready with rxn 1870 Matching kcats: Ready with rxn 1880 Matching kcats: Ready with rxn 1890 Matching kcats: Ready with rxn 1900 Matching kcats: Ready with rxn 1910 Matching kcats: Ready with rxn 1920 Matching kcats: Ready with rxn 1930 Matching kcats: Ready with rxn 1940 Matching kcats: Ready with rxn 1950 Matching kcats: Ready with rxn 1960 Matching kcats: Ready with rxn 1970 Matching kcats: Ready with rxn 1980 Matching kcats: Ready with rxn 1990 Matching kcats: Ready with rxn 2000 Matching kcats: Ready with rxn 2010 Matching kcats: Ready with rxn 2020 Matching kcats: Ready with rxn 2030 Matching kcats: Ready with rxn 2040 Matching kcats: Ready with rxn 2050 Matching kcats: Ready with rxn 2060 Matching kcats: Ready with rxn 2070 Matching kcats: Ready with rxn 2080 Matching kcats: Ready with rxn 2090 Matching kcats: Ready with rxn 2100 Matching kcats: Ready with rxn 2110 Matching kcats: Ready with rxn 2120 Matching kcats: Ready with rxn 2130 Matching kcats: Ready with rxn 2140 Matching kcats: Ready with rxn 2150 Matching kcats: Ready with rxn 2160 Matching kcats: Ready with rxn 2170 Matching kcats: Ready with rxn 2180 Matching kcats: Ready with rxn 2190 Matching kcats: Ready with rxn 2200 Matching kcats: Ready with rxn 2210 Matching kcats: Ready with rxn 2220 Matching kcats: Ready with rxn 2230 Matching kcats: Ready with rxn 2240 Matching kcats: Ready with rxn 2250 Matching kcats: Ready with rxn 2260 Matching kcats: Ready with rxn 2270 Matching kcats: Ready with rxn 2280 Matching kcats: Ready with rxn 2290 Matching kcats: Ready with rxn 2300 Matching kcats: Ready with rxn 2310 Matching kcats: Ready with rxn 2320 Matching kcats: Ready with rxn 2330 Matching kcats: Ready with rxn 2340 Matching kcats: Ready with rxn 2350 Matching kcats: Ready with rxn 2360 Matching kcats: Ready with rxn 2370 Matching kcats: Ready with rxn 2380 Matching kcats: Ready with rxn 2390 Matching kcats: Ready with rxn 2400 Matching kcats: Ready with rxn 2410 Matching kcats: Ready with rxn 2420 Matching kcats: Ready with rxn 2430 Matching kcats: Ready with rxn 2440 Matching kcats: Ready with rxn 2450 Matching kcats: Ready with rxn 2460 Matching kcats: Ready with rxn 2470 Matching kcats: Ready with rxn 2480 Matching kcats: Ready with rxn 2490 Matching kcats: Ready with rxn 2500 Matching kcats: Ready with rxn 2510 Matching kcats: Ready with rxn 2520 Matching kcats: Ready with rxn 2530 Matching kcats: Ready with rxn 2540 Matching kcats: Ready with rxn 2550 Matching kcats: Ready with rxn 2560 Matching kcats: Ready with rxn 2570 Matching kcats: Ready with rxn 2580 Matching kcats: Ready with rxn 2590 Matching kcats: Ready with rxn 2600 Matching kcats: Ready with rxn 2610 Matching kcats: Ready with rxn 2620 Matching kcats: Ready with rxn 2630 Matching kcats: Ready with rxn 2640 Matching kcats: Ready with rxn 2650 Matching kcats: Ready with rxn 2660 Matching kcats: Ready with rxn 2670 Matching kcats: Ready with rxn 2680 Matching kcats: Ready with rxn 2690 Matching kcats: Ready with rxn 2700 Matching kcats: Ready with rxn 2710 Matching kcats: Ready with rxn 2720 Matching kcats: Ready with rxn 2730 Matching kcats: Ready with rxn 2740 Matching kcats: Ready with rxn 2750 Matching kcats: Ready with rxn 2760 Matching kcats: Ready with rxn 2770 Matching kcats: Ready with rxn 2780 Matching kcats: Ready with rxn 2790 Matching kcats: Ready with rxn 2800 Matching kcats: Ready with rxn 2810 Matching kcats: Ready with rxn 2820 Matching kcats: Ready with rxn 2830 Matching kcats: Ready with rxn 2840 Matching kcats: Ready with rxn 2850 Matching kcats: Ready with rxn 2860 Matching kcats: Ready with rxn 2870 Matching kcats: Ready with rxn 2880 Matching kcats: Ready with rxn 2890 Matching kcats: Ready with rxn 2900 Matching kcats: Ready with rxn 2910 Matching kcats: Ready with rxn 2920 Matching kcats: Ready with rxn 2930 Matching kcats: Ready with rxn 2940 Matching kcats: Ready with rxn 2950 Matching kcats: Ready with rxn 2960 Matching kcats: Ready with rxn 2970 Matching kcats: Ready with rxn 2980 Matching kcats: Ready with rxn 2990 Matching kcats: Ready with rxn 3000 Matching kcats: Ready with rxn 3010 Matching kcats: Ready with rxn 3020 Matching kcats: Ready with rxn 3030 Matching kcats: Ready with rxn 3040 Matching kcats: Ready with rxn 3050 Matching kcats: Ready with rxn 3060 Matching kcats: Ready with rxn 3070 Matching kcats: Ready with rxn 3080 Matching kcats: Ready with rxn 3090 Matching kcats: Ready with rxn 3100 Matching kcats: Ready with rxn 3110 Matching kcats: Ready with rxn 3120 Matching kcats: Ready with rxn 3130 Matching kcats: Ready with rxn 3140 Matching kcats: Ready with rxn 3150 Matching kcats: Ready with rxn 3160 Matching kcats: Ready with rxn 3170 Matching kcats: Ready with rxn 3180 Matching kcats: Ready with rxn 3190 Matching kcats: Ready with rxn 3200 Matching kcats: Ready with rxn 3210 Matching kcats: Ready with rxn 3220 Matching kcats: Ready with rxn 3230 Matching kcats: Ready with rxn 3240 Matching kcats: Ready with rxn 3250 Matching kcats: Ready with rxn 3260 Matching kcats: Ready with rxn 3270 Matching kcats: Ready with rxn 3280 Matching kcats: Ready with rxn 3290 Matching kcats: Ready with rxn 3300 Matching kcats: Ready with rxn 3310 Matching kcats: Ready with rxn 3320 Matching kcats: Ready with rxn 3330 Matching kcats: Ready with rxn 3340 Matching kcats: Ready with rxn 3350 Matching kcats: Ready with rxn 3360 Matching kcats: Ready with rxn 3370 Matching kcats: Ready with rxn 3380 Matching kcats: Ready with rxn 3390 Matching kcats: Ready with rxn 3400 Matching kcats: Ready with rxn 3410 Matching kcats: Ready with rxn 3420 Matching kcats: Ready with rxn 3430 Matching kcats: Ready with rxn 3440 Matching kcats: Ready with rxn 3450 Matching kcats: Ready with rxn 3460 Matching kcats: Ready with rxn 3470 Matching kcats: Ready with rxn 3480 Matching kcats: Ready with rxn 3490 Matching kcats: Ready with rxn 3500 Matching kcats: Ready with rxn 3510 Matching kcats: Ready with rxn 3520 Matching kcats: Ready with rxn 3530 Matching kcats: Ready with rxn 3540 Matching kcats: Ready with rxn 3550 Matching kcats: Ready with rxn 3560 Matching kcats: Ready with rxn 3570 Matching kcats: Ready with rxn 3580 Matching kcats: Ready with rxn 3590 Matching kcats: Ready with rxn 3600 Matching kcats: Ready with rxn 3610 Matching kcats: Ready with rxn 3620 Matching kcats: Ready with rxn 3630 Matching kcats: Ready with rxn 3640 Matching kcats: Ready with rxn 3650 Matching kcats: Ready with rxn 3660 Matching kcats: Ready with rxn 3670 Matching kcats: Ready with rxn 3680 Matching kcats: Ready with rxn 3690 Matching kcats: Ready with rxn 3700 Matching kcats: Ready with rxn 3710 Matching kcats: Ready with rxn 3720 Matching kcats: Ready with rxn 3730 Matching kcats: Ready with rxn 3740 Matching kcats: Ready with rxn 3750 Matching kcats: Ready with rxn 3760 Matching kcats: Ready with rxn 3770 Matching kcats: Ready with rxn 3780 Matching kcats: Ready with rxn 3790 Matching kcats: Ready with rxn 3800 Matching kcats: Ready with rxn 3810 Matching kcats: Ready with rxn 3820 Matching kcats: Ready with rxn 3830 Matching kcats: Ready with rxn 3840 Matching kcats: Ready with rxn 3850 Matching kcats: Ready with rxn 3860 Matching kcats: Ready with rxn 3870 Matching kcats: Ready with rxn 3880 Matching kcats: Ready with rxn 3890 Matching kcats: Ready with rxn 3900 Matching kcats: Ready with rxn 3910 Matching kcats: Ready with rxn 3920 Matching kcats: Ready with rxn 3930 Matching kcats: Ready with rxn 3940 Matching kcats: Ready with rxn 3950 Matching kcats: Ready with rxn 3960 Matching kcats: Ready with rxn 3970 Matching kcats: Ready with rxn 3980 Matching kcats: Ready with rxn 3990 Matching kcats: Ready with rxn 4000 Matching kcats: Ready with rxn 4010 Matching kcats: Ready with rxn 4020 Matching kcats: Ready with rxn 4030 Matching kcats: Ready with rxn 4040 Matching kcats: Ready with rxn 4050 Matching kcats: Ready with rxn 4053 Adding enzymes to rxns: Ready with rxn 100 Adding enzymes to rxns: Ready with rxn 200 Adding enzymes to rxns: Ready with rxn 300 Adding enzymes to rxns: Ready with rxn 400 Adding enzymes to rxns: Ready with rxn 500 Adding enzymes to rxns: Ready with rxn 600 Adding enzymes to rxns: Ready with rxn 700 Adding enzymes to rxns: Ready with rxn 800 Adding enzymes to rxns: Ready with rxn 900 Adding enzymes to rxns: Ready with rxn 1000 Adding enzymes to rxns: Ready with rxn 1100 Adding enzymes to rxns: Ready with rxn 1200 Adding enzymes to rxns: Ready with rxn 1300 Adding enzymes to rxns: Ready with rxn 1400 Adding enzymes to rxns: Ready with rxn 1500 Adding enzymes to rxns: Ready with rxn 1600 Adding enzymes to rxns: Ready with rxn 1700 Adding enzymes to rxns: Ready with rxn 1800 Adding enzymes to rxns: Ready with rxn 1900 Adding enzymes to rxns: Ready with rxn 2000 Adding enzymes to rxns: Ready with rxn 2100 Adding enzymes to rxns: Ready with rxn 2200 Adding enzymes to rxns: Ready with rxn 2300 Adding enzymes to rxns: Ready with rxn 2400 Adding enzymes to rxns: Ready with rxn 2500 Adding enzymes to rxns: Ready with rxn 2600 Adding enzymes to rxns: Ready with rxn 2700 Adding enzymes to rxns: Ready with rxn 2800 Adding enzymes to rxns: Ready with rxn 2900 Adding enzymes to rxns: Ready with rxn 3000 Adding enzymes to rxns: Ready with rxn 3100 Adding enzymes to rxns: Ready with rxn 3200 Adding enzymes to rxns: Ready with rxn 3300 Adding enzymes to rxns: Ready with rxn 3400 Adding enzymes to rxns: Ready with rxn 3500 Adding enzymes to rxns: Ready with rxn 3600 Adding enzymes to rxns: Ready with rxn 3700 Adding enzymes to rxns: Ready with rxn 3800 Adding enzymes to rxns: Ready with rxn 3900 Adding enzymes to rxns: Ready with rxn 4000 Adding enzymes to rxns: Ready with rxn 4100 Adding enzymes to rxns: Ready with rxn 4200 Adding enzymes to rxns: Ready with rxn 4300 Adding enzymes to rxns: Ready with rxn 4400 Adding enzymes to rxns: Ready with rxn 4500 Adding enzymes to rxns: Ready with rxn 4600 Adding enzymes to rxns: Ready with rxn 4700 Adding enzymes to rxns: Ready with rxn 4800 Adding enzymes to rxns: Ready with rxn 4900 Adding enzymes to rxns: Ready with rxn 5000 Adding enzymes to rxns: Ready with rxn 5100 Adding enzymes to rxns: Ready with rxn 5200 Adding enzymes to rxns: Ready with rxn 5300 Adding enzymes to rxns: Ready with rxn 5400 Adding enzymes to rxns: Ready with rxn 5500 Adding enzymes to rxns: Ready with rxn 5600 Adding enzymes to rxns: Ready with rxn 5700 Adding enzymes to rxns: Ready with rxn 5800 Adding enzymes to rxns: Ready with rxn 5900 Adding enzymes to rxns: Ready with rxn 5925 Improving model with curated data: Ready with rxn 100 Improving model with curated data: Ready with rxn 200 Improving model with curated data: Ready with rxn 300 Improving model with curated data: Ready with rxn 400 Improving model with curated data: Ready with rxn 500 Improving model with curated data: Ready with rxn 600 Improving model with curated data: Ready with rxn 700 Improving model with curated data: Ready with rxn 800 Improving model with curated data: Ready with rxn 900 Improving model with curated data: Ready with rxn 1000 Improving model with curated data: Ready with rxn 1100 Improving model with curated data: Ready with rxn 1200 Improving model with curated data: Ready with rxn 1300 Improving model with curated data: Ready with rxn 1400 Improving model with curated data: Ready with rxn 1500 Improving model with curated data: Ready with rxn 1600 Improving model with curated data: Ready with rxn 1700 Improving model with curated data: Ready with rxn 1800 Improving model with curated data: Ready with rxn 1900 Improving model with curated data: Ready with rxn 2000 Improving model with curated data: Ready with rxn 2100 Improving model with curated data: Ready with rxn 2200 Improving model with curated data: Ready with rxn 2300 Improving model with curated data: Ready with rxn 2400 Improving model with curated data: Ready with rxn 2500 Improving model with curated data: Ready with rxn 2600 Improving model with curated data: Ready with rxn 2700 Improving model with curated data: Ready with rxn 2800 Improving model with curated data: Ready with rxn 2900 Improving model with curated data: Ready with rxn 3000 Improving model with curated data: Ready with rxn 3100 Improving model with curated data: Ready with rxn 3200 Improving model with curated data: Ready with rxn 3300 Improving model with curated data: Ready with rxn 3400 Improving model with curated data: Ready with rxn 3500 Improving model with curated data: Ready with rxn 3600 Improving model with curated data: Ready with rxn 3700 Improving model with curated data: Ready with rxn 3800 Improving model with curated data: Ready with rxn 3900 Improving model with curated data: Ready with rxn 4000 Improving model with curated data: Ready with rxn 4100 Improving model with curated data: Ready with rxn 4200 Improving model with curated data: Ready with rxn 4300 Improving model with curated data: Ready with rxn 4400 Improving model with curated data: Ready with rxn 4500 Improving model with curated data: Ready with rxn 4600 Improving model with curated data: Ready with rxn 4700 Improving model with curated data: Ready with rxn 4800 Improving model with curated data: Ready with rxn 4900 Improving model with curated data: Ready with rxn 5000 Improving model with curated data: Ready with rxn 5100 Improving model with curated data: Ready with rxn 5200 Improving model with curated data: Ready with rxn 5300 Improving model with curated data: Ready with rxn 5400 Improving model with curated data: Ready with rxn 5500 Improving model with curated data: Ready with rxn 5600 Improving model with curated data: Ready with rxn 5700 Improving model with curated data: Ready with rxn 5800 Improving model with curated data: Ready with rxn 5900 Improving model with curated data: Ready with rxn 6000 Improving model with curated data: Ready with rxn 6100 Improving model with curated data: Ready with rxn 6200 Improving model with curated data: Ready with rxn 6300 Improving model with curated data: Ready with rxn 6400 Improving model with curated data: Ready with rxn 6500 Improving model with curated data: Ready with rxn 6600 Improving model with curated data: Ready with rxn 6700 Improving model with curated data: Ready with rxn 6800 Improving model with curated data: Ready with rxn 6900 Improving model with curated data: Ready with rxn 7000 Improving model with curated data: Ready with rxn 7100 Improving model with curated data: Ready with rxn 7200 Improving model with curated data: Ready with rxn 7300 Improving model with curated data: Ready with rxn 7400 Improving model with curated data: Ready with rxn 7500 Improving model with curated data: Ready with rxn 7600 Improving model with curated data: Ready with rxn 7700 Improving model with curated data: Ready with rxn 7800 Improving model with curated data: Ready with rxn 7900 Improving model with curated data: Ready with rxn 8000 Improving model with curated data: Ready with rxn 8100 Improving model with curated data: Ready with rxn 8200 Improving model with curated data: Ready with rxn 8300 Improving model with curated data: Ready with rxn 8311 Removing repeated rxn: r_0226No2 & r_0226No3 Removing repeated rxn: r_0438No1 & r_0438No2 Removing repeated rxn: r_0438No1 & r_0438No3 Removing repeated rxn: r_0438No1 & r_0438No4 Removing repeated rxn: r_0438No2 & r_0438No3 Removing repeated rxn: r_0438No2 & r_0438No4 Removing repeated rxn: r_0438No3 & r_0438No4 Removing repeated rxn: r_0439No1 & r_0439No2 Merging reactions: arm_r_0439 & r_0439No1 Merging reactions: arm_r_0543 & r_0543No1 Merging reactions: arm_r_1838 & r_1838No1 Removing unused protein: P00424 Removing unused protein: P18496 Removing unused protein: P22135 Removing unused protein: P32453 Removing unused protein: Q3E7B6 P00924: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids sce03018 RNA degradation P00925: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids sce03018 RNA degradation P00950: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00260 Glycine, serine and threonine metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P09201: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00030 Pentose phosphate pathway sce00051 Fructose and mannose metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism P13711: sce00592 alpha-Linolenic acid metabolism sce00071 Fatty acid degradation sce00592 alpha-Linolenic acid metabolism sce01040 Biosynthesis of unsaturated fatty acids sce01110 Biosynthesis of secondary metabolites sce01212 Fatty acid metabolism sce04146 Peroxisome P14540: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00030 Pentose phosphate pathway sce00051 Fructose and mannose metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P16861: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00030 Pentose phosphate pathway sce00051 Fructose and mannose metabolism sce00052 Galactose metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids sce03018 RNA degradation P16862: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00030 Pentose phosphate pathway sce00051 Fructose and mannose metabolism sce00052 Galactose metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids sce03018 RNA degradation P17898: sce00565 Ether lipid metabolism sce00440 Phosphonate and phosphinate metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism P22140: sce00565 Ether lipid metabolism sce00440 Phosphonate and phosphinate metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism sce01110 Biosynthesis of secondary metabolites P27796: sce00592 alpha-Linolenic acid metabolism sce00071 Fatty acid degradation sce00280 Valine, leucine and isoleucine degradation sce00592 alpha-Linolenic acid metabolism sce01040 Biosynthesis of unsaturated fatty acids sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01212 Fatty acid metabolism sce04146 Peroxisome P32771: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00071 Fatty acid degradation sce00350 Tyrosine metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism P33330: sce00680 Methane metabolism sce00260 Glycine, serine and threonine metabolism sce00680 Methane metabolism sce00750 Vitamin B6 metabolism sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P36014: sce00590 Arachidonic acid metabolism sce00480 Glutathione metabolism sce00590 Arachidonic acid metabolism P36126: sce00565 Ether lipid metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism sce01110 Biosynthesis of secondary metabolites sce04144 Endocytosis P36165: sce00565 Ether lipid metabolism sce00100 Steroid biosynthesis sce00561 Glycerolipid metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism sce00590 Arachidonic acid metabolism sce00592 alpha-Linolenic acid metabolism sce01110 Biosynthesis of secondary metabolites P36165: sce00590 Arachidonic acid metabolism sce00100 Steroid biosynthesis sce00561 Glycerolipid metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism sce00590 Arachidonic acid metabolism sce00592 alpha-Linolenic acid metabolism sce01110 Biosynthesis of secondary metabolites P36165: sce00592 alpha-Linolenic acid metabolism sce00100 Steroid biosynthesis sce00561 Glycerolipid metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism sce00590 Arachidonic acid metabolism sce00592 alpha-Linolenic acid metabolism sce01110 Biosynthesis of secondary metabolites P37291: sce00460 Cyanoamino acid metabolism sce00260 Glycine, serine and threonine metabolism sce00460 Cyanoamino acid metabolism sce00630 Glyoxylate and dicarboxylate metabolism sce00670 One carbon pool by folate sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P37291: sce00680 Methane metabolism sce00260 Glycine, serine and threonine metabolism sce00460 Cyanoamino acid metabolism sce00630 Glyoxylate and dicarboxylate metabolism sce00670 One carbon pool by folate sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P37292: sce00460 Cyanoamino acid metabolism sce00260 Glycine, serine and threonine metabolism sce00460 Cyanoamino acid metabolism sce00630 Glyoxylate and dicarboxylate metabolism sce00670 One carbon pool by folate sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P37292: sce00680 Methane metabolism sce00260 Glycine, serine and threonine metabolism sce00460 Cyanoamino acid metabolism sce00630 Glyoxylate and dicarboxylate metabolism sce00670 One carbon pool by folate sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P38143: sce00590 Arachidonic acid metabolism sce00480 Glutathione metabolism sce00590 Arachidonic acid metabolism P38986: sce00460 Cyanoamino acid metabolism sce00250 Alanine, aspartate and glutamate metabolism sce00460 Cyanoamino acid metabolism sce01110 Biosynthesis of secondary metabolites P40054: sce00680 Methane metabolism sce00260 Glycine, serine and threonine metabolism sce00680 Methane metabolism sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P40363: sce00680 Methane metabolism sce00680 Methane metabolism sce01200 Carbon metabolism P40471: sce00565 Ether lipid metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism P40510: sce00680 Methane metabolism sce00260 Glycine, serine and threonine metabolism sce00680 Methane metabolism sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P40581: sce00590 Arachidonic acid metabolism sce00480 Glutathione metabolism sce00590 Arachidonic acid metabolism P42222: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids sce03018 RNA degradation P42941: sce00680 Methane metabolism sce00260 Glycine, serine and threonine metabolism sce00680 Methane metabolism sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce01230 Biosynthesis of amino acids P43550: sce00680 Methane metabolism sce00051 Fructose and mannose metabolism sce00561 Glycerolipid metabolism sce00680 Methane metabolism sce01200 Carbon metabolism P43567: sce00680 Methane metabolism sce00250 Alanine, aspartate and glutamate metabolism sce00260 Glycine, serine and threonine metabolism sce00630 Glyoxylate and dicarboxylate metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism sce04146 Peroxisome P52910: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00620 Pyruvate metabolism sce00640 Propanoate metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism P54838: sce00680 Methane metabolism sce00051 Fructose and mannose metabolism sce00561 Glycerolipid metabolism sce00680 Methane metabolism sce01200 Carbon metabolism Q01574: sce00680 Methane metabolism sce00010 Glycolysis / Gluconeogenesis sce00620 Pyruvate metabolism sce00640 Propanoate metabolism sce00680 Methane metabolism sce01110 Biosynthesis of secondary metabolites sce01130 Biosynthesis of antibiotics sce01200 Carbon metabolism Q05902: sce00460 Cyanoamino acid metabolism sce00430 Taurine and hypotaurine metabolism sce00460 Cyanoamino acid metabolism sce00480 Glutathione metabolism Q08548: sce00565 Ether lipid metabolism sce00561 Glycerolipid metabolism sce00564 Glycerophospholipid metabolism sce00565 Ether lipid metabolism sce01110 Biosynthesis of secondary metabolites Q08911: sce00680 Methane metabolism sce00630 Glyoxylate and dicarboxylate metabolism sce00680 Methane metabolism sce01200 Carbon metabolism Q10740: sce00590 Arachidonic acid metabolism sce00590 Arachidonic acid metabolism Calculating total abundance: Ready with 100/6440 genes Calculating total abundance: Ready with 200/6440 genes Calculating total abundance: Ready with 300/6440 genes Calculating total abundance: Ready with 400/6440 genes Calculating total abundance: Ready with 500/6440 genes Calculating total abundance: Ready with 600/6440 genes Calculating total abundance: Ready with 700/6440 genes Calculating total abundance: Ready with 800/6440 genes Calculating total abundance: Ready with 900/6440 genes Calculating total abundance: Ready with 1000/6440 genes Calculating total abundance: Ready with 1100/6440 genes Calculating total abundance: Ready with 1200/6440 genes Calculating total abundance: Ready with 1300/6440 genes Calculating total abundance: Ready with 1400/6440 genes Calculating total abundance: Ready with 1500/6440 genes Calculating total abundance: Ready with 1600/6440 genes Calculating total abundance: Ready with 1700/6440 genes Calculating total abundance: Ready with 1800/6440 genes Calculating total abundance: Ready with 1900/6440 genes Calculating total abundance: Ready with 2000/6440 genes Calculating total abundance: Ready with 2100/6440 genes Calculating total abundance: Ready with 2200/6440 genes Calculating total abundance: Ready with 2300/6440 genes Calculating total abundance: Ready with 2400/6440 genes Calculating total abundance: Ready with 2500/6440 genes Calculating total abundance: Ready with 2600/6440 genes Calculating total abundance: Ready with 2700/6440 genes Calculating total abundance: Ready with 2800/6440 genes Calculating total abundance: Ready with 2900/6440 genes Calculating total abundance: Ready with 3000/6440 genes Calculating total abundance: Ready with 3100/6440 genes Calculating total abundance: Ready with 3200/6440 genes Calculating total abundance: Ready with 3300/6440 genes Calculating total abundance: Ready with 3400/6440 genes Calculating total abundance: Ready with 3500/6440 genes Calculating total abundance: Ready with 3600/6440 genes Calculating total abundance: Ready with 3700/6440 genes Calculating total abundance: Ready with 3800/6440 genes Calculating total abundance: Ready with 3900/6440 genes Calculating total abundance: Ready with 4000/6440 genes Calculating total abundance: Ready with 4100/6440 genes Calculating total abundance: Ready with 4200/6440 genes Calculating total abundance: Ready with 4300/6440 genes Calculating total abundance: Ready with 4400/6440 genes Calculating total abundance: Ready with 4500/6440 genes Calculating total abundance: Ready with 4600/6440 genes Calculating total abundance: Ready with 4700/6440 genes Calculating total abundance: Ready with 4800/6440 genes Calculating total abundance: Ready with 4900/6440 genes Calculating total abundance: Ready with 5000/6440 genes Calculating total abundance: Ready with 5100/6440 genes Calculating total abundance: Ready with 5200/6440 genes Calculating total abundance: Ready with 5300/6440 genes Calculating total abundance: Ready with 5400/6440 genes Calculating total abundance: Ready with 5500/6440 genes Calculating total abundance: Ready with 5600/6440 genes Calculating total abundance: Ready with 5700/6440 genes Calculating total abundance: Ready with 5800/6440 genes Calculating total abundance: Ready with 5900/6440 genes Calculating total abundance: Ready with 6000/6440 genes Calculating total abundance: Ready with 6100/6440 genes Calculating total abundance: Ready with 6200/6440 genes Calculating total abundance: Ready with 6300/6440 genes Calculating total abundance: Ready with 6400/6440 genes Calculating total abundance: Ready with 6440/6440 genes WARNING: Reaction r_1663 is not present in the reaction list WARNING: Reaction r_4062 is not present in the reaction list WARNING: Reaction r_4064 is not present in the reaction list Matching data to enzymes in model... Estimating GAM: Fitted GAM = 27.4 -> Error = 0.1816 [Warning: MATLAB has disabled some advanced graphics rendering features by switching to software OpenGL. For more information, click <a href="matlab:opengl('problems')">here</a>.] Total protein amount measured = 0 g/gDW Total enzymes measured = 0 enzymes Enzymes in model with 0 g/gDW = 0 enzymes Total protein amount not measured = 0.5 g/gDW Total enzymes not measured = 968 enzymes Total protein in model = 0.5 g/gDW *************************************************************** The ECmodel is overconstrained ******************* Limiting Kcats curation ******************* *Iteration #1 Automatic search // EC#: 5.4.99.7 Protein:P38604 Rxn#:3751 name: lanosterol synthase (No1) prev_Kcat:0.0019367 new_Kcat:4.0763 CC:0.63672 Err:-61.0431% *Iteration #2 Automatic search // EC#: 6.3.5.3 Protein:P38972 Rxn#:2991 name: 5'-phosphoribosylformyl glycinamidine synthetase (No1) prev_Kcat:0.05 new_Kcat:5.0675 CC:0.36184 Err:-47.1166% *Iteration #3 Automatic search // EC#: 4.2.1.20 Protein:P00931 Rxn#:4155 name: tryptophan synthase (indoleglycerol phosphate) (No1) prev_Kcat:0.022301 new_Kcat:775.75 CC:0.41185 Err:-25.3069% *Iteration #4 Automatic search // EC#: 6.3.4.- 6.3.4.9 6.3.4.10 6.3.4.11 6.3.4.15 Protein:P48445 Rxn#:3031 name: acetyl-CoA carboxylase, reaction (No1) prev_Kcat:1.23 new_Kcat:450000 CC:0.059866 Err:-20.8306% *Iteration #5 Automatic search // EC#: 2.1.1.14 Protein:P05694 Rxn#:3781 name: methionine synthase (No1) prev_Kcat:0.33 new_Kcat:3.5 CC:0.046422 Err:-17.513% *Iteration #6 Automatic search // EC#: 2.7.6.1 Protein:P32895 Rxn#:3984 name: phosphoribosylpyrophosphate synthetase (No1) prev_Kcat:0.65999 new_Kcat:1170 CC:0.044464 Err:-13.8436% *Iteration #7 Automatic search // EC#: 4.1.1.65 Protein:P39006 Rxn#:4659 name: PS decarboxylase (1-16:1, 2-16:1), mitochondrial membrane (No1) prev_Kcat:0.053334 new_Kcat:366.6667 CC:0.041758 Err:-10.2424% *Iteration #8 Automatic search // EC#: 1.1.1.302 Protein:P33312 Rxn#:2909 name: 2,5-diamino-6-ribosylamino-4(3H)-pyrimidinone 5'-phosphate reductase (NADPH) (No1) prev_Kcat:0.00066666 new_Kcat:0.00066667 CC:0.042829 Err:-10.2424% *Iteration #9 Automatic search // EC#: 2.3.1.15 2.3.1.42 Protein:P36148 Rxn#:4383 name: glycerol-3-phosphate acyltransferase (16:1), ER membrane (No2) prev_Kcat:0.0918 new_Kcat:9.9733 CC:0.038586 Err:-6.8086% *************************************************************** Fitting the average enzymes saturation factor Fitting sigma factor: 0.01 error: 98.449% Fitting sigma factor: 0.02 error: 96.4126% Fitting sigma factor: 0.03 error: 94.3761% Fitting sigma factor: 0.04 error: 92.3397% Fitting sigma factor: 0.05 error: 90.3032% Fitting sigma factor: 0.06 error: 88.2668% Fitting sigma factor: 0.07 error: 86.2303% Fitting sigma factor: 0.08 error: 84.1939% Fitting sigma factor: 0.09 error: 82.1574% Fitting sigma factor: 0.1 error: 80.121% Fitting sigma factor: 0.11 error: 78.0845% Fitting sigma factor: 0.12 error: 76.0481% Fitting sigma factor: 0.13 error: 74.0116% Fitting sigma factor: 0.14 error: 71.9752% Fitting sigma factor: 0.15 error: 69.9387% Fitting sigma factor: 0.16 error: 67.9023% Fitting sigma factor: 0.17 error: 65.8658% Fitting sigma factor: 0.18 error: 63.8293% Fitting sigma factor: 0.19 error: 61.7929% Fitting sigma factor: 0.2 error: 59.7564% Fitting sigma factor: 0.21 error: 57.72% Fitting sigma factor: 0.22 error: 55.6835% Fitting sigma factor: 0.23 error: 53.6471% Fitting sigma factor: 0.24 error: 51.6106% Fitting sigma factor: 0.25 error: 49.5742% Fitting sigma factor: 0.26 error: 47.5377% Fitting sigma factor: 0.27 error: 45.5013% Fitting sigma factor: 0.28 error: 43.4648% Fitting sigma factor: 0.29 error: 41.4284% Fitting sigma factor: 0.3 error: 39.3919% Fitting sigma factor: 0.31 error: 37.3555% Fitting sigma factor: 0.32 error: 35.319% Fitting sigma factor: 0.33 error: 33.2826% Fitting sigma factor: 0.34 error: 31.2461% Fitting sigma factor: 0.35 error: 29.2097% Fitting sigma factor: 0.36 error: 27.1732% Fitting sigma factor: 0.37 error: 25.1368% Fitting sigma factor: 0.38 error: 23.1003% Fitting sigma factor: 0.39 error: 21.0638% Fitting sigma factor: 0.4 error: 19.0274% Fitting sigma factor: 0.41 error: 16.9909% Fitting sigma factor: 0.42 error: 14.9545% Fitting sigma factor: 0.43 error: 12.918% Fitting sigma factor: 0.44 error: 10.8816% Fitting sigma factor: 0.45 error: 8.8451% Fitting sigma factor: 0.46 error: 6.8087% Fitting sigma factor: 0.47 error: 4.7722% Fitting sigma factor: 0.48 error: 2.7358% Fitting sigma factor: 0.49 error: 0.69933% Fitting sigma factor: 0.5 error: -1.3371% Fitting sigma factor: 0.51 error: -3.3736% Fitting sigma factor: 0.52 error: -5.41% Fitting sigma factor: 0.53 error: -7.4465% Fitting sigma factor: 0.54 error: -9.4829% Fitting sigma factor: 0.55 error: -11.5194% Fitting sigma factor: 0.56 error: -13.5558% Fitting sigma factor: 0.57 error: -15.5923% Fitting sigma factor: 0.58 error: -17.6287% Fitting sigma factor: 0.59 error: -19.6652% Fitting sigma factor: 0.6 error: -21.7016% Fitting sigma factor: 0.61 error: -23.7381% Fitting sigma factor: 0.62 error: -25.7746% Fitting sigma factor: 0.63 error: -27.811% Fitting sigma factor: 0.64 error: -29.8475% Fitting sigma factor: 0.65 error: -31.8839% Fitting sigma factor: 0.66 error: -33.9204% Fitting sigma factor: 0.67 error: -35.9568% Fitting sigma factor: 0.68 error: -37.9933% Fitting sigma factor: 0.69 error: -40.0297% Fitting sigma factor: 0.7 error: -42.0662% Fitting sigma factor: 0.71 error: -44.1026% Fitting sigma factor: 0.72 error: -46.1391% Fitting sigma factor: 0.73 error: -48.1755% Fitting sigma factor: 0.74 error: -50.212% Fitting sigma factor: 0.75 error: -52.2484% Fitting sigma factor: 0.76 error: -54.2849% Fitting sigma factor: 0.77 error: -56.3213% Fitting sigma factor: 0.78 error: -58.3578% Fitting sigma factor: 0.79 error: -60.3942% Fitting sigma factor: 0.8 error: -62.4307% Fitting sigma factor: 0.81 error: -64.4671% Fitting sigma factor: 0.82 error: -66.5036% Fitting sigma factor: 0.83 error: -68.54% Fitting sigma factor: 0.84 error: -70.5765% Fitting sigma factor: 0.85 error: -72.613% Fitting sigma factor: 0.86 error: -74.6494% Fitting sigma factor: 0.87 error: -76.6859% Fitting sigma factor: 0.88 error: -78.7223% Fitting sigma factor: 0.89 error: -80.7588% Fitting sigma factor: 0.9 error: -82.7952% Fitting sigma factor: 0.91 error: -84.8317% Fitting sigma factor: 0.92 error: -86.8681% Fitting sigma factor: 0.93 error: -88.9046% Fitting sigma factor: 0.94 error: -90.941% Fitting sigma factor: 0.95 error: -92.9775% Fitting sigma factor: 0.96 error: -95.0139% Fitting sigma factor: 0.97 error: -97.0504% Fitting sigma factor: 0.98 error: -99.0868% Fitting sigma factor: 0.99 error: -101.1233% Fitting sigma factor: 1 error: -103.1597% Sigma factor (fitted for growth on glucose): 0.49 Converting RAVEN structure to COBRA.. Each model.subSystems{x} is a character array, and this format is retained.
automator-metatlas
commented
3 years ago automator-metatlas
commented
3 years ago