Journal article
AutoMap: A tool for analyzing protein-ligand recognition using multiple ligand binding modes
M Agostino, RL Mancera, PA Ramsland, E Yuriev
Journal of Molecular Graphics and Modelling | ELSEVIER SCIENCE INC | Published : 2013
Abstract
Prediction of the protein residues most likely to be involved in ligand recognition is of substantial value in structure-based drug design. Considering multiple ligand binding modes is of potential relevance to studying ligand recognition, but is generally ignored by currently available techniques. We have previously presented the site mapping technique, which considers multiple ligand binding modes in its analysis of protein-ligand recognition. AutoMap is a partially automated implementation of our previously developed site mapping procedure. It consists of a series of Perl scripts that utilize the output of molecular docking to generate "site maps" of a protein binding site. AutoMap determ..
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Funding Acknowledgements
This research was supported by a small grant from the Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, to E.Y. M.A. was a recipient of the Monash University Postgraduate Publication Award (PPA). P.A.R. is the Sir Zelman Cowen Senior Research Fellow (Sir Zelman Cowen Fellowship Fund, Burnet Institute). The authors gratefully acknowledge the contribution to this work of the Victorian Operational Infrastructure Support Program received by the Burnet Institute. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.