Literature DB >> 19495993

Virtual fragment screening: an exploration of various docking and scoring protocols for fragments using Glide.

Sameer Kawatkar1, Hongming Wang, Ryszard Czerminski, Diane Joseph-McCarthy.   

Abstract

Fragment-based drug discovery approaches allow for a greater coverage of chemical space and generally produce high efficiency ligands. As such, virtual and experimental fragment screening are increasingly being coupled in an effort to identify new leads for specific therapeutic targets. Fragment docking is employed to create target-focussed subset of compounds for testing along side generic fragment libraries. The utility of the program Glide with various scoring schemes for fragment docking is discussed. Fragment docking results for two test cases, prostaglandin D2 synthase and DNA ligase, are presented and compared to experimental screening data. Self-docking, cross-docking, and enrichment studies are performed. For the enrichment runs, experimental data exists indicating that the docking decoys in fact do not inhibit the corresponding enzyme being examined. Results indicate that even for difficult test cases fragment docking can yield enrichments significantly better than random.

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Year:  2009        PMID: 19495993     DOI: 10.1007/s10822-009-9281-4

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


  31 in total

1.  A 'rule of three' for fragment-based lead discovery?

Authors:  Miles Congreve; Robin Carr; Chris Murray; Harren Jhoti
Journal:  Drug Discov Today       Date:  2003-10-01       Impact factor: 7.851

2.  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

3.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

Authors:  Thomas A Halgren; Robert B Murphy; Richard A Friesner; Hege S Beard; Leah L Frye; W Thomas Pollard; Jay L Banks
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

4.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

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

Authors:  Nicolas Triballeau; Francine Acher; Isabelle Brabet; Jean-Philippe Pin; Hugues-Olivier Bertrand
Journal:  J Med Chem       Date:  2005-04-07       Impact factor: 7.446

Review 6.  Drugs for bad bugs: confronting the challenges of antibacterial discovery.

Authors:  David J Payne; Michael N Gwynn; David J Holmes; David L Pompliano
Journal:  Nat Rev Drug Discov       Date:  2006-12-08       Impact factor: 84.694

7.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes.

Authors:  Richard A Friesner; Robert B Murphy; Matthew P Repasky; Leah L Frye; Jeremy R Greenwood; Thomas A Halgren; Paul C Sanschagrin; Daniel T Mainz
Journal:  J Med Chem       Date:  2006-10-19       Impact factor: 7.446

8.  Discovery of a novel warhead against beta-secretase through fragment-based lead generation.

Authors:  Stefan Geschwindner; Lise-Lotte Olsson; Jeffrey S Albert; Johanna Deinum; Philip D Edwards; Tonny de Beer; Rutger H A Folmer
Journal:  J Med Chem       Date:  2007-11-07       Impact factor: 7.446

9.  Rescoring docking hit lists for model cavity sites: predictions and experimental testing.

Authors:  Alan P Graves; Devleena M Shivakumar; Sarah E Boyce; Matthew P Jacobson; David A Case; Brian K Shoichet
Journal:  J Mol Biol       Date:  2008-01-30       Impact factor: 5.469

10.  Novel prostaglandin D synthase inhibitors generated by fragment-based drug design.

Authors:  Morten Hohwy; Loredana Spadola; Britta Lundquist; Paul Hawtin; Jan Dahmén; Ib Groth-Clausen; Ewa Nilsson; Sofia Persdotter; Karin von Wachenfeldt; Rutger H A Folmer; Karl Edman
Journal:  J Med Chem       Date:  2008-03-15       Impact factor: 7.446

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  12 in total

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

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2012-01-15       Impact factor: 3.686

2.  Evaluation of docking performance in a blinded virtual screening of fragment-like trypsin inhibitors.

Authors:  Georgiana Surpateanu; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2011-12-17       Impact factor: 3.686

3.  Chemical space sampling by different scoring functions and crystal structures.

Authors:  Natasja Brooijmans; Christine Humblet
Journal:  J Comput Aided Mol Des       Date:  2010-04-18       Impact factor: 3.686

4.  Fragment-based drug discovery using a multidomain, parallel MD-MM/PBSA screening protocol.

Authors:  Tian Zhu; Hyun Lee; Hao Lei; Christopher Jones; Kavankumar Patel; Michael E Johnson; Kirk E Hevener
Journal:  J Chem Inf Model       Date:  2013-03-14       Impact factor: 4.956

5.  Virtual fragment screening: exploration of MM-PBSA re-scoring.

Authors:  Sameer Kawatkar; Demetri Moustakas; Matthew Miller; Diane Joseph-McCarthy
Journal:  J Comput Aided Mol Des       Date:  2012-08-07       Impact factor: 3.686

6.  In silico fragment-mapping method: a new tool for fragment-based/structure-based drug discovery.

Authors:  Noriyuki Yamaotsu; Shuichi Hirono
Journal:  J Comput Aided Mol Des       Date:  2018-09-08       Impact factor: 3.686

7.  Effect of explicit water molecules on ligand-binding affinities calculated with the MM/GBSA approach.

Authors:  Paulius Mikulskis; Samuel Genheden; Ulf Ryde
Journal:  J Mol Model       Date:  2014-05-29       Impact factor: 1.810

8.  Pyrazolo[3,4-d]pyrimidines as novel inhibitors of O-acetyl-L-serine sulfhydrylase of Entamoeba histolytica: an in silico study.

Authors:  Umesh Yadava; Bindesh Kumar Shukla; Mihir Roychoudhury; Devesh Kumar
Journal:  J Mol Model       Date:  2015-03-25       Impact factor: 1.810

9.  Homology modeling and virtual screening studies of FGF-7 protein-a structure-based approach to design new molecules against tumor angiogenesis.

Authors:  Rajender Vadija; Kiran Kumar Mustyala; Navaneetha Nambigari; Ramasree Dulapalli; Rama Krishna Dumpati; Vishwanath Ramatenki; Santhi Prada Vellanki; Uma Vuruputuri
Journal:  J Chem Biol       Date:  2016-06-18

10.  Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia-An In Silico Approach.

Authors:  Ihsan A Shehadi; Huda R M Rashdan; Aboubakr H Abdelmonsef
Journal:  Comput Math Methods Med       Date:  2020-03-16       Impact factor: 2.238

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