Literature DB >> 22246345

Computational fragment-based screening using RosettaLigand: the SAMPL3 challenge.

Ashutosh Kumar1, Kam Y J Zhang.   

Abstract

SAMPL3 fragment based virtual screening challenge provides a valuable opportunity for researchers to test their programs, methods and screening protocols in a blind testing environment. We participated in SAMPL3 challenge and evaluated our virtual fragment screening protocol, which involves RosettaLigand as the core component by screening a 500 fragments Maybridge library against bovine pancreatic trypsin. Our study reaffirmed that the real test for any virtual screening approach would be in a blind testing environment. The analyses presented in this paper also showed that virtual screening performance can be improved, if a set of known active compounds is available and parameters and methods that yield better enrichment are selected. Our study also highlighted that to achieve accurate orientation and conformation of ligands within a binding site, selecting an appropriate method to calculate partial charges is important. Another finding is that using multiple receptor ensembles in docking does not always yield better enrichment than individual receptors. On the basis of our results and retrospective analyses from SAMPL3 fragment screening challenge we anticipate that chances of success in a fragment screening process could be increased significantly with careful selection of receptor structures, protein flexibility, sufficient conformational sampling within binding pocket and accurate assignment of ligand and protein partial charges.

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Year:  2012        PMID: 22246345     DOI: 10.1007/s10822-011-9523-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  52 in total

1.  The Protein Data Bank.

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2.  Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation.

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4.  Ligand efficiency: a useful metric for lead selection.

Authors:  Andrew L Hopkins; Colin R Groom; Alexander Alex
Journal:  Drug Discov Today       Date:  2004-05-15       Impact factor: 7.851

Review 5.  SPR-based fragment screening: advantages and applications.

Authors:  T Neumann; H-D Junker; K Schmidt; R Sekul
Journal:  Curr Top Med Chem       Date:  2007       Impact factor: 3.295

Review 6.  Flexible ligand docking to multiple receptor conformations: a practical alternative.

Authors:  Maxim Totrov; Ruben Abagyan
Journal:  Curr Opin Struct Biol       Date:  2008-02-25       Impact factor: 6.809

7.  DSX: a knowledge-based scoring function for the assessment of protein-ligand complexes.

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Journal:  J Chem Inf Model       Date:  2011-10-04       Impact factor: 4.956

8.  Application of fragment screening by X-ray crystallography to beta-secretase.

Authors:  Christopher W Murray; Owen Callaghan; Gianni Chessari; Anne Cleasby; Miles Congreve; Martyn Frederickson; Michael J Hartshorn; Rachel McMenamin; Sahil Patel; Nicola Wallis
Journal:  J Med Chem       Date:  2007-02-22       Impact factor: 7.446

9.  Fragment-based design of small molecule X-linked inhibitor of apoptosis protein inhibitors.

Authors:  Jui-Wen Huang; Ziming Zhang; Bainan Wu; Jason F Cellitti; Xiyun Zhang; Russell Dahl; Chung-Wai Shiau; Kate Welsh; Aras Emdadi; John L Stebbins; John C Reed; Maurizio Pellecchia
Journal:  J Med Chem       Date:  2008-11-27       Impact factor: 7.446

10.  Systematic exploitation of multiple receptor conformations for virtual ligand screening.

Authors:  Giovanni Bottegoni; Walter Rocchia; Manuel Rueda; Ruben Abagyan; Andrea Cavalli
Journal:  PLoS One       Date:  2011-05-17       Impact factor: 3.240

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  7 in total

1.  Prospective evaluation of shape similarity based pose prediction method in D3R Grand Challenge 2015.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2016-08-02       Impact factor: 3.686

2.  A cross docking pipeline for improving pose prediction and virtual screening performance.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2017-08-23       Impact factor: 3.686

3.  Absolute binding free energy calculations of CBClip host-guest systems in the SAMPL5 blind challenge.

Authors:  Juyong Lee; Florentina Tofoleanu; Frank C Pickard; Gerhard König; Jing Huang; Ana Damjanović; Minkyung Baek; Chaok Seok; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-09-27       Impact factor: 3.686

Review 4.  Blind prediction of HIV integrase binding from the SAMPL4 challenge.

Authors:  David L Mobley; Shuai Liu; Nathan M Lim; Karisa L Wymer; Alexander L Perryman; Stefano Forli; Nanjie Deng; Justin Su; Kim Branson; Arthur J Olson
Journal:  J Comput Aided Mol Des       Date:  2014-03-05       Impact factor: 3.686

5.  Incorporation of protein flexibility and conformational energy penalties in docking screens to improve ligand discovery.

Authors:  Marcus Fischer; Ryan G Coleman; James S Fraser; Brian K Shoichet
Journal:  Nat Chem       Date:  2014-05-25       Impact factor: 24.427

6.  Assessment and challenges of ligand docking into comparative models of G-protein coupled receptors.

Authors:  Elizabeth Dong Nguyen; Christoffer Norn; Thomas M Frimurer; Jens Meiler
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

7.  Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.

Authors:  Teresa Danielle Bergazin; Nicolas Tielker; Yingying Zhang; Junjun Mao; M R Gunner; Karol Francisco; Carlo Ballatore; Stefan M Kast; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2021-06-24       Impact factor: 3.686

  7 in total

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