Literature DB >> 21323318

FRED pose prediction and virtual screening accuracy.

Mark McGann1.   

Abstract

Results of a previous docking study are reanalyzed and extended to include results from the docking program FRED and a detailed statistical analysis of both structure reproduction and virtual screening results. FRED is run both in a traditional docking mode and in a hybrid mode that makes use of the structure of a bound ligand in addition to the protein structure to screen molecules. This analysis shows that most docking programs are effective overall but highly inconsistent, tending to do well on one system and poorly on the next. Comparing methods, the difference in mean performance on DUD is found to be statistically significant (95% confidence) 61% of the time when using a global enrichment metric (AUC). Early enrichment metrics are found to have relatively poor statistical power, with 0.5% early enrichment only able to distinguish methods to 95% confidence 14% of the time.

Year:  2011        PMID: 21323318     DOI: 10.1021/ci100436p

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  185 in total

1.  FRED and HYBRID docking performance on standardized datasets.

Authors:  Mark McGann
Journal:  J Comput Aided Mol Des       Date:  2012-06-05       Impact factor: 3.686

2.  Correlation between biological activity and binding energy in systems of integrin with cyclic RGD-containing binders: a QM/MM molecular dynamics study.

Authors:  Mingli Xiang; Yuchun Lin; Gu He; Lijuan Chen; Mingli Yang; Shengyong Yang; Yirong Mo
Journal:  J Mol Model       Date:  2012-06-27       Impact factor: 1.810

3.  Ultrafast protein structure-based virtual screening with Panther.

Authors:  Sanna P Niinivehmas; Kari Salokas; Sakari Lätti; Hannu Raunio; Olli T Pentikäinen
Journal:  J Comput Aided Mol Des       Date:  2015-09-25       Impact factor: 3.686

4.  The statistics of virtual screening and lead optimization.

Authors:  Mark McGann; Anthony Nicholls; Istvan Enyedy
Journal:  J Comput Aided Mol Des       Date:  2015-10       Impact factor: 3.686

5.  Improving inverse docking target identification with Z-score selection.

Authors:  Stephanie S Kim; Melanie L Aprahamian; Steffen Lindert
Journal:  Chem Biol Drug Des       Date:  2019-01-02       Impact factor: 2.817

6.  The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening.

Authors:  Jie Xia; Jui-Hua Hsieh; Huabin Hu; Song Wu; Xiang Simon Wang
Journal:  J Chem Inf Model       Date:  2017-06-01       Impact factor: 4.956

7.  BTN3A1 Discriminates γδ T Cell Phosphoantigens from Nonantigenic Small Molecules via a Conformational Sensor in Its B30.2 Domain.

Authors:  Mahboob Salim; Timothy J Knowles; Alfie T Baker; Martin S Davey; Mark Jeeves; Pooja Sridhar; John Wilkie; Carrie R Willcox; Hachemi Kadri; Taher E Taher; Pierre Vantourout; Adrian Hayday; Youcef Mehellou; Fiyaz Mohammed; Benjamin E Willcox
Journal:  ACS Chem Biol       Date:  2017-09-14       Impact factor: 5.100

8.  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

9.  Newly Designed Quinolinol Inhibitors Mitigate the Effects of Botulinum Neurotoxin A in Enzymatic, Cell-Based, and ex Vivo Assays.

Authors:  Paul T Bremer; Michael Adler; Cecilia H Phung; Ajay K Singh; Kim D Janda
Journal:  J Med Chem       Date:  2017-01-03       Impact factor: 7.446

10.  LAT1 activity of carboxylic acid bioisosteres: Evaluation of hydroxamic acids as substrates.

Authors:  Arik A Zur; Huan-Chieh Chien; Evan Augustyn; Andrew Flint; Nathan Heeren; Karissa Finke; Christopher Hernandez; Logan Hansen; Sydney Miller; Lawrence Lin; Kathleen M Giacomini; Claire Colas; Avner Schlessinger; Allen A Thomas
Journal:  Bioorg Med Chem Lett       Date:  2016-09-03       Impact factor: 2.823

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