Literature DB >> 11276081

High throughput docking for library design and library prioritization.

D J Diller1, K M Merz.   

Abstract

The prioritization of the screening of combinatorial libraries is an extremely important task for the rapid identification of tight binding ligands and ultimately pharmaceutical compounds. When structural information for the target is available, molecular docking is an approach that can be used for prioritization. Here, we present the initial validation of a new rapid approach to molecular docking developed for prioritizing combinatorial libraries. The algorithm is tested on 103 individual cases from the protein data bank and in nearly 90% of these cases docks the ligand to within 2.0 A of the observed binding mode. Because the mean CPU time is <5 s/mol, this approach can process hundreds of thousands of compounds per week. Furthermore, if a somewhat less thorough search is performed, the search time drops to 1 s/mol, thus allowing millions of compounds to be docked per week and tested for potential activity. Proteins 2001;43:113-124. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11276081     DOI: 10.1002/1097-0134(20010501)43:2<113::aid-prot1023>3.0.co;2-t

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  71 in total

1.  Can we separate active from inactive conformations?

Authors:  David J Diller; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

Review 2.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

Review 3.  Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection--what can we learn from earlier mistakes?

Authors:  Johannes Kirchmair; Patrick Markt; Simona Distinto; Gerhard Wolber; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2008-01-15       Impact factor: 3.686

4.  Two Novel Fungal Phenolic UDP Glycosyltransferases from Absidia coerulea and Rhizopus japonicus.

Authors:  Kebo Xie; Xiaoxiang Dou; Ridao Chen; Dawei Chen; Cheng Fang; Zhiyan Xiao; Jungui Dai
Journal:  Appl Environ Microbiol       Date:  2017-03-31       Impact factor: 4.792

5.  A fast protein-ligand docking algorithm based on hydrogen bond matching and surface shape complementarity.

Authors:  Wenjia Luo; Jianfeng Pei; Yushan Zhu
Journal:  J Mol Model       Date:  2009-10-13       Impact factor: 1.810

6.  A critical assessment of the performance of protein-ligand scoring functions based on NMR chemical shift perturbations.

Authors:  Bing Wang; Lance M Westerhoff; Kenneth M Merz
Journal:  J Med Chem       Date:  2007-09-15       Impact factor: 7.446

7.  Insights into β-lactamases from Burkholderia species, two phylogenetically related yet distinct resistance determinants.

Authors:  Krisztina M Papp-Wallace; Magdalena A Taracila; Julian A Gatta; Nozomi Ohuchi; Robert A Bonomo; Michiyoshi Nukaga
Journal:  J Biol Chem       Date:  2013-05-08       Impact factor: 5.157

8.  Synthesis, Spectral Properties and DFT Calculations of new Ruthenium (II) Polypyridyl Complexes; DNA Binding Affinity and in Vitro Cytotoxicity Activity.

Authors:  Rajender Reddy Mallepally; Nagamani Chintakuntla; Venkat Reddy Putta; Nagasuryaprasad K; Ravi Kumar Vuradi; Madhuri P; Satyanarayana Singh S; Ramesh Kumar Chitumalla; Joonkyung Jang; Nagababu Penumaka; Satyanarayana Sirasani
Journal:  J Fluoresc       Date:  2017-04-22       Impact factor: 2.217

9.  Inhibitor resistance in the KPC-2 beta-lactamase, a preeminent property of this class A beta-lactamase.

Authors:  Krisztina M Papp-Wallace; Christopher R Bethel; Anne M Distler; Courtney Kasuboski; Magdalena Taracila; Robert A Bonomo
Journal:  Antimicrob Agents Chemother       Date:  2009-12-14       Impact factor: 5.191

10.  Evaluation of different virtual screening programs for docking in a charged binding pocket.

Authors:  Wei Deng; Christophe L M J Verlinde
Journal:  J Chem Inf Model       Date:  2008-09-27       Impact factor: 4.956

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