Literature DB >> 19929833

Emerging methods for ensemble-based virtual screening.

Rommie E Amaro1, Wilfred W Li.   

Abstract

Ensemble based virtual screening refers to the use of conformational ensembles from crystal structures, NMR studies or molecular dynamics simulations. It has gained greater acceptance as advances in the theoretical framework, computational algorithms, and software packages enable simulations at longer time scales. Here we focus on the use of computationally generated conformational ensembles and emerging methods that use these ensembles for discovery, such as the Relaxed Complex Scheme or Dynamic Pharmacophore Model. We also discuss the more rigorous physics-based computational techniques such as accelerated molecular dynamics and thermodynamic integration and their applications in improving conformational sampling or the ranking of virtual screening hits. Finally, technological advances that will help make virtual screening tools more accessible to a wider audience in computer aided drug design are discussed.

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Year:  2010        PMID: 19929833      PMCID: PMC3086266          DOI: 10.2174/156802610790232279

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  112 in total

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Authors:  H A Carlson; K M Masukawa; K Rubins; F D Bushman; W L Jorgensen; R D Lins; J M Briggs; J A McCammon
Journal:  J Med Chem       Date:  2000-06-01       Impact factor: 7.446

Review 2.  Structure-based virtual screening: an overview.

Authors:  Paul D Lyne
Journal:  Drug Discov Today       Date:  2002-10-15       Impact factor: 7.851

3.  Standard free energy of releasing a localized water molecule from the binding pockets of proteins: double-decoupling method.

Authors:  Donald Hamelberg; J Andrew McCammon
Journal:  J Am Chem Soc       Date:  2004-06-23       Impact factor: 15.419

Review 4.  Virtual screening in lead discovery and optimization.

Authors:  Ajay N Jain
Journal:  Curr Opin Drug Discov Devel       Date:  2004-07

Review 5.  The many roles of computation in drug discovery.

Authors:  William L Jorgensen
Journal:  Science       Date:  2004-03-19       Impact factor: 47.728

6.  Accelerated entropy estimates with accelerated dynamics.

Authors:  David D L Minh; Donald Hamelberg; J Andrew McCammon
Journal:  J Chem Phys       Date:  2007-10-21       Impact factor: 3.488

7.  Comparative molecular dynamics simulations of HIV-1 integrase and the T66I/M154I mutant: binding modes and drug resistance to a diketo acid inhibitor.

Authors:  Alessandro Brigo; Keun Woo Lee; Federico Fogolari; Gabriela Iurcu Mustata; James M Briggs
Journal:  Proteins       Date:  2005-06-01

8.  A multistep approach to structure-based drug design: studying ligand binding at the human neutrophil elastase.

Authors:  Thomas Steinbrecher; David A Case; Andreas Labahn
Journal:  J Med Chem       Date:  2006-03-23       Impact factor: 7.446

9.  Exploring protein native states and large-scale conformational changes with a modified generalized born model.

Authors:  Alexey Onufriev; Donald Bashford; David A Case
Journal:  Proteins       Date:  2004-05-01

10.  An improved relaxed complex scheme for receptor flexibility in computer-aided drug design.

Authors:  Rommie E Amaro; Riccardo Baron; J Andrew McCammon
Journal:  J Comput Aided Mol Des       Date:  2008-01-15       Impact factor: 3.686

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  37 in total

Review 1.  RNA Structural Differentiation: Opportunities with Pattern Recognition.

Authors:  Christopher S Eubanks; Amanda E Hargrove
Journal:  Biochemistry       Date:  2018-12-18       Impact factor: 3.162

2.  Discovery of novel checkpoint kinase 1 inhibitors by virtual screening based on multiple crystal structures.

Authors:  Yan Li; Dong Joon Kim; Weiya Ma; Ronald A Lubet; Ann M Bode; Zigang Dong
Journal:  J Chem Inf Model       Date:  2011-10-12       Impact factor: 4.956

Review 3.  Predicting drug metabolism: experiment and/or computation?

Authors:  Johannes Kirchmair; Andreas H Göller; Dieter Lang; Jens Kunze; Bernard Testa; Ian D Wilson; Robert C Glen; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2015-04-24       Impact factor: 84.694

4.  Conformational transition paths harbor structures useful for aiding drug discovery and understanding enzymatic mechanisms in protein kinases.

Authors:  Chung F Wong
Journal:  Protein Sci       Date:  2015-06-22       Impact factor: 6.725

5.  Ensemble-based virtual screening: identification of a potential allosteric inhibitor of Bcr-Abl.

Authors:  Vivek Kumar Singh; Mohane Selvaraj Coumar
Journal:  J Mol Model       Date:  2017-07-01       Impact factor: 1.810

6.  Guide to virtual screening: application to the Akt phosphatase PHLPP.

Authors:  William Sinko; Emma Sierecki; César A F de Oliveira; J Andrew McCammon
Journal:  Methods Mol Biol       Date:  2012

7.  Elucidating the inhibition of peptidoglycan biosynthesis in Staphylococcus aureus by albocycline, a macrolactone isolated from Streptomyces maizeus.

Authors:  Hai Liang; Guangfeng Zhou; Yunhui Ge; Elizabeth A D'Ambrosio; Tess M Eidem; Catlyn Blanchard; Cindy Shehatou; Vijay K Chatare; Paul M Dunman; Ann M Valentine; Vincent A Voelz; Catherine L Grimes; Rodrigo B Andrade
Journal:  Bioorg Med Chem       Date:  2018-05-24       Impact factor: 3.641

8.  Progress towards automated Kepler scientific workflows for computer-aided drug discovery and molecular simulations.

Authors:  Pek U Ieong; Jesper Sørensen; Prasantha L Vemu; Celia W Wong; Özlem Demir; Nadya P Williams; Jianwu Wang; Daniel Crawl; Robert V Swift; Robert D Malmstrom; Ilkay Altintas; Rommie E Amaro
Journal:  Procedia Comput Sci       Date:  2014

9.  Enhancing Virtual Screening Performance of Protein Kinases with Molecular Dynamics Simulations.

Authors:  Tavina L Offutt; Robert V Swift; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2016-10-03       Impact factor: 4.956

10.  Discovery of Staphylococcus aureus sortase A inhibitors using virtual screening and the relaxed complex scheme.

Authors:  Albert H Chan; Jeff Wereszczynski; Brendan R Amer; Sung Wook Yi; Michael E Jung; J Andrew McCammon; Robert T Clubb
Journal:  Chem Biol Drug Des       Date:  2013-10       Impact factor: 2.817

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