DockingPie: a consensus docking plugin for PyMOL

Author:

Rosignoli Serena1ORCID,Paiardini Alessandro1ORCID

Affiliation:

1. Department of Biochemical Sciences ‘A. Rossi Fanelli’, Sapienza Università di Roma , Rome 00185, Italy

Abstract

Abstract Motivation The primary strategy for predicting the binding mode of small molecules to their receptors and for performing receptor-based virtual screening studies is protein–ligand docking, which is undoubtedly the most popular and successful approach in computer-aided drug discovery. The increased popularity of docking has resulted in the development of different docking algorithms and scoring functions. Nonetheless, it is unlikely that a single approach outperforms the others in terms of reproducibility and precision. In this ground, consensus docking techniques are taking hold. Results We have developed DockingPie, an open source PyMOL plugin for individual, as well as consensus docking analyses. Smina, AutoDock Vina, ADFR and RxDock are the four docking engines that DockingPie currently supports in an easy and extremely intuitive way, thanks to its integrated docking environment and its GUI, fully integrated within PyMOL. Availability and implementation https://github.com/paiardin/DockingPie. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Associazione Italiana Ricerca sul Cancro

Sapienza University

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference17 articles.

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4. Lessons learned in empirical scoring with smina from the CSAR 2011 benchmarking exercise;Koes;J. Chem. Inf. Model,2013

5. Application of consensus scoring and principal component analysis for virtual screening against β-secretase (BACE-1);Liu;PLoS ONE,2012

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