arrow
Return

MTiOpenScreen: a web server for structure-based virtual screening

delete2015-04-08
delete158
delete
OA
AI
C
Céline M. Labbé
J
Julien Rey
D
David Lagorce
M
Marek Vavruša
J
Jérôme Becot
O
Olivier Spérandio
B
Bruno O. Villoutreix
P
Pierre Tufféry
M
Maria A. Miteva *
DOI:10.1093/nar/gkv306delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Open screening endeavors play and will play a key role to facilitate the identification of new bioactive compounds in order to foster innovation and to improve the effectiveness of chemical biology and drug discovery processes. In this line, we developed the new web server MTiOpenScreen dedicated to small molecule docking and virtual screening. It includes two services, MTiAutoDock and MTiOpenScreen, allowing performing docking into a user-defined binding site or blind docking using AutoDock 4.2 and automated virtual screening with AutoDock Vina. MTiOpenScreen provides valuable starting collections for screening, two in-house prepared drug-like chemical libraries containing 150 000 PubChem compounds: the Diverse-lib containing diverse molecules and the iPPI-lib enriched in molecules likely to inhibit protein-protein interactions. In addition, MTiOpenScreen offers users the possibility to screen up to 5000 small molecules selected outside our two libraries. The predicted binding poses and energies of up to 1000 top ranked ligands can be downloaded. In this way, MTiOpenScreen enables researchers to apply virtual screening using different chemical libraries on traditional or more challenging protein targets such as protein-protein interactions. The MTiOpenScreen web server is free and open to all users at http://bioserv.rpbs.univ-paris-diderot.fr/services/MTiOpenScreen/.
Keywords:
PROTEIN-PROTEIN INTERACTIONS
DRUG DESIGN
DOCKING
BIOINFORMATICS
INHIBITORS
DISCOVERY
LIBRARIES
DATABASE
UPDATE
TOOLS
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
Papers:
3.6W
Citations:
29.0W

Organization