Literature DB >> 22728777

Essential considerations for using protein-ligand structures in drug discovery.

Gregory L Warren1, Thanh D Do, Brian P Kelley, Anthony Nicholls, Stephen D Warren.   

Abstract

Protein-ligand structures are the core data required for structure-based drug design (SBDD). Understanding the error present in this data is essential to the successful development of SBDD tools. Methods for assessing protein-ligand structure quality and a new set of identification criteria are presented here. When these criteria were applied to a set of 728 structures previously used to validate molecular docking software, only 17% were found to be acceptable. Structures were re-refined to maintain internal consistency in the comparison and assessment of the quality criteria. This process resulted in Iridium, a highly trustworthy protein-ligand structure database to be used for development and validation of structure-based design tools for drug discovery.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22728777     DOI: 10.1016/j.drudis.2012.06.011

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  37 in total

1.  Towards predictive docking at aminergic G-protein coupled receptors.

Authors:  Jan Jakubík; Esam E El-Fakahany; Vladimír Doležal
Journal:  J Mol Model       Date:  2015-10-09       Impact factor: 1.810

2.  Models of protein-ligand crystal structures: trust, but verify.

Authors:  Marc C Deller; Bernhard Rupp
Journal:  J Comput Aided Mol Des       Date:  2015-02-10       Impact factor: 3.686

3.  An integrated suite of modeling tools that empower scientists in structure- and property-based drug design.

Authors:  Jianwen A Feng; Ignacio Aliagas; Philippe Bergeron; Jeff M Blaney; Erin K Bradley; Michael F T Koehler; Man-Ling Lee; Daniel F Ortwine; Vickie Tsui; Johnny Wu; Alberto Gobbi
Journal:  J Comput Aided Mol Des       Date:  2015-04-29       Impact factor: 3.686

4.  Exploring the stability of ligand binding modes to proteins by molecular dynamics simulations.

Authors:  Kai Liu; Etsurou Watanabe; Hironori Kokubo
Journal:  J Comput Aided Mol Des       Date:  2017-01-10       Impact factor: 3.686

5.  Docking-undocking combination applied to the D3R Grand Challenge 2015.

Authors:  Sergio Ruiz-Carmona; Xavier Barril
Journal:  J Comput Aided Mol Des       Date:  2016-10-05       Impact factor: 3.686

6.  Protein-ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes.

Authors:  Sebastian Raschka; Alex J Wolf; Joseph Bemister-Buffington; Leslie A Kuhn
Journal:  J Comput Aided Mol Des       Date:  2018-02-12       Impact factor: 3.686

7.  An integrated approach to knowledge-driven structure-based virtual screening.

Authors:  Angela M Henzler; Sascha Urbaczek; Matthias Hilbig; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2014-07-04       Impact factor: 3.686

8.  Crystal structure of type II NADH:quinone oxidoreductase from Caldalkalibacillus thermarum with an improved resolution of 2.15 Å.

Authors:  Yoshio Nakatani; Wanting Jiao; David Aragão; Yosuke Shimaki; Jessica Petri; Emily J Parker; Gregory M Cook
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2017-09-23       Impact factor: 1.056

9.  qFit-ligand Reveals Widespread Conformational Heterogeneity of Drug-Like Molecules in X-Ray Electron Density Maps.

Authors:  Gydo C P van Zundert; Brandi M Hudson; Saulo H P de Oliveira; Daniel A Keedy; Rasmus Fonseca; Amelie Heliou; Pooja Suresh; Kenneth Borrelli; Tyler Day; James S Fraser; Henry van den Bedem
Journal:  J Med Chem       Date:  2018-12-06       Impact factor: 7.446

10.  Predicting the relative binding affinity of mineralocorticoid receptor antagonists by density functional methods.

Authors:  Katarina Roos; Anders Hogner; Derek Ogg; Martin J Packer; Eva Hansson; Kenneth L Granberg; Emma Evertsson; Anneli Nordqvist
Journal:  J Comput Aided Mol Des       Date:  2015-11-16       Impact factor: 3.686

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