Open tubiana opened 3 weeks ago
Hi @tubiana
I tested it on my side. I guess you are not using the same versions of the library af2_analysis
in the two cases.
I made a lot of change before summer holidays, that may explain your issue.
Here is how to use it:
# Import your models
my_data = af2_analysis.Data('./src/af2_analysis/test/inputs/beta_amyloid_dimer_cf_1.5.5/', verbose=False)
#compute_LIS_pep
docking.LIS_pep(my_data, verbose=False)
You should have a matrix for the LIS
field of size $N \times N$ where $N$ is the number of chain of your model.
And you should also have access to the LIS_rec_pep
LIS_pep_rec
values which are floating values.
I have updated the example.ipynb
if it can help. Let me know if your inconsistencies are fixed.
Cheers, Samuel
Hi @samuelmurail :)
Just asking if you found any inconsistencies in the computation of the LIS score ?
Here's for example the LIS score matrix from a model I made with af2_analysis :
And the LIS score from the original notebook :
Or maybe there is something I misunderstood on af2_analysis LIS matrix :) ?
Cheers, Thibault