-
### Model
ESKAPE pathogen inhibition - eos5xng
### Molecules
O=C(C(C)C)C1=C(O)C=C(OC)C=C1/C=C/C2=CC=C(O)C=C2
-
**Summary !!!**
- **BioModel Name**: Rahman2022 - High throughput antibacterial screening with machine learning.
- **BioModel Tag**: fair AIML, Machine learning model
- **Metadata Comments**…
-
ESKAPE pathogens found in https://www.nature.com/articles/s41597-022-01463-7
Datasets for benchmarking antimicrobial resistance genes in bacterial metagenomic and whole genome sequencing
https:/…
-
-
Dear proBERT developers
Thank you for publishing this excellent model.
Also, great congratulations on the publication of the reviewed paper (https://www.frontiersin.org/articles/10.3389/fmicb.2023…
-
Hey hey,
I currently work on v2 of this guide, it will contain a few enhancements to modernize it. I think it could be awesome if we outreach more audience by speaking their mother-tongue language.…
-
Hi! Thanks for working on this. It helped me a lot.
I would like to give back some love and help out with a dutch translation.
What is the best way to start?
-
### Model
ESKAPE pathogen inhibition - eos5xng
### Molecules
O=C(C(C)C)C1=C(O)C=C(OC)C=C1/C=C/C2=CC=C(O)C=C2
-
As per last meeting, we can start compiling the list of supplementary files that will be included with the main experimental SI file.
Anything that should be included can be added to the table belo…
-
fitnesse table is
|script |selenium driver fixture |
|start browser|iexplore|on url |http://nzakl20sv273:9081/ |
|do |open |on …