AutoDock Bias: improving binding mode prediction and virtual screening using known protein-ligand interactions.
Bioinformatics
; 35(19): 3836-3838, 2019 10 01.
Article
in En
| MEDLINE
| ID: mdl-30825370
ABSTRACT
SUMMARY:
The performance of docking calculations can be improved by tuning parameters for the system of interest, e.g. biasing the results towards the formation of relevant protein-ligand interactions, such as known ligand pharmacophore or interaction sites derived from cosolvent molecular dynamics. AutoDock Bias is a straightforward and easy to use script-based method that allows the introduction of different types of user-defined biases for fine-tuning AutoDock4 docking calculations. AVAILABILITY AND IMPLEMENTATION AutoDock Bias is distributed with MGLTools (since version 1.5.7), and freely available on the web at http//ccsb.scripps.edu/mgltools/ or http//autodockbias.wordpress.com. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Full text:
1
Database:
MEDLINE
Main subject:
Software
Type of study:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Language:
En
Journal:
Bioinformatics
Journal subject:
INFORMATICA MEDICA
Year:
2019
Type:
Article
Affiliation country:
Argentina