Literature DB >> 15801843

Virtual screening workflow development guided by the "receiver operating characteristic" curve approach. Application to high-throughput docking on metabotropic glutamate receptor subtype 4.

Nicolas Triballeau1, Francine Acher, Isabelle Brabet, Jean-Philippe Pin, Hugues-Olivier Bertrand.   

Abstract

The "receiver operating characteristic" (ROC) curve method is a well-recognized metric used as an objective way to evaluate the ability of a given test to discriminate between two populations. This facilitates decision-making in a plethora of fields in which a wrong judgment may have serious consequences including clinical diagnosis, public safety, travel security, and economic strategies. When virtual screening is used to speed-up the drug discovery process in pharmaceutical research, taking the right decision upon selecting or discarding a molecule prior to in vitro evaluation is of paramount importance. Characterizing both the ability of a virtual screening workflow to select active molecules and the ability to discard inactive ones, the ROC curve approach is well suited for this critical decision gate. As a case study, the first virtual screening workflow focused on metabotropic glutamate receptor subtype 4 (mGlu4R) agonists is reported here. Six compounds out of 38 selected and tested in vitro were shown to have agonist activity on this target of therapeutic interest.

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Year:  2005        PMID: 15801843     DOI: 10.1021/jm049092j

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  141 in total

1.  Improving molecular docking through eHiTS' tunable scoring function.

Authors:  Orr Ravitz; Zsolt Zsoldos; Aniko Simon
Journal:  J Comput Aided Mol Des       Date:  2011-11-11       Impact factor: 3.686

2.  Ligand expansion in ligand-based virtual screening using relevance feedback.

Authors:  Ammar Abdo; Faisal Saeed; Hentabli Hamza; Ali Ahmed; Naomie Salim
Journal:  J Comput Aided Mol Des       Date:  2012-01-17       Impact factor: 3.686

3.  Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors.

Authors:  Rand Shahin; Saja Alqtaishat; Mutasem O Taha
Journal:  J Comput Aided Mol Des       Date:  2011-12-14       Impact factor: 3.686

Review 4.  Structure and ligand recognition of class C GPCRs.

Authors:  Lei Chun; Wen-hua Zhang; Jian-feng Liu
Journal:  Acta Pharmacol Sin       Date:  2012-01-30       Impact factor: 6.150

5.  Virtual screening using a conformationally flexible target protein: models for ligand binding to p38α MAPK.

Authors:  Natalie B Vinh; Jamie S Simpson; Peter J Scammells; David K Chalmers
Journal:  J Comput Aided Mol Des       Date:  2012-04-20       Impact factor: 3.686

6.  Substantial improvements in large-scale redocking and screening using the novel HYDE scoring function.

Authors:  Nadine Schneider; Sally Hindle; Gudrun Lange; Robert Klein; Jürgen Albrecht; Hans Briem; Kristin Beyer; Holger Claußen; Marcus Gastreich; Christian Lemmen; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2011-12-27       Impact factor: 3.686

7.  Integrating computational and mixture-based screening of combinatorial libraries.

Authors:  Austin B Yongye; Clemencia Pinilla; Jose L Medina-Franco; Marc A Giulianotti; Colette T Dooley; Jon R Appel; Adel Nefzi; Thomas Scior; Richard A Houghten; Karina Martínez-Mayorga
Journal:  J Mol Model       Date:  2010-09-21       Impact factor: 1.810

8.  Ligand-guided optimization of CXCR4 homology models for virtual screening using a multiple chemotype approach.

Authors:  Marco A C Neves; Sérgio Simões; M Luisa Sá e Melo
Journal:  J Comput Aided Mol Des       Date:  2010-10-20       Impact factor: 3.686

9.  A lead discovery strategy driven by a comprehensive analysis of proteases in the peptide substrate space.

Authors:  Sai Chetan K Sukuru; Florian Nigsch; Jean Quancard; Martin Renatus; Rajiv Chopra; Natasja Brooijmans; Dmitri Mikhailov; Zhan Deng; Allen Cornett; Jeremy L Jenkins; Ulrich Hommel; John W Davies; Meir Glick
Journal:  Protein Sci       Date:  2010-11       Impact factor: 6.725

10.  DOCK 6: Impact of new features and current docking performance.

Authors:  William J Allen; Trent E Balius; Sudipto Mukherjee; Scott R Brozell; Demetri T Moustakas; P Therese Lang; David A Case; Irwin D Kuntz; Robert C Rizzo
Journal:  J Comput Chem       Date:  2015-06-05       Impact factor: 3.376

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