Literature DB >> 25330975

Molecular docking to flexible targets.

Jesper Sørensen1, Özlem Demir, Robert V Swift, Victoria A Feher, Rommie E Amaro.   

Abstract

It is widely accepted that protein receptors exist as an ensemble of conformations in solution. How best to incorporate receptor flexibility into virtual screening protocols used for drug discovery remains a significant challenge. Here, stepwise methodologies are described to generate and select relevant protein conformations for virtual screening in the context of the relaxed complex scheme (RCS), to design small molecule libraries for docking, and to perform statistical analyses on the virtual screening results. Methods include equidistant spacing, RMSD-based clustering, and QR factorization protocols for ensemble generation and ROC analysis for ensemble selection.

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Year:  2015        PMID: 25330975     DOI: 10.1007/978-1-4939-1465-4_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  POVME 3.0: Software for Mapping Binding Pocket Flexibility.

Authors:  Jeffrey R Wagner; Jesper Sørensen; Nathan Hensley; Celia Wong; Clare Zhu; Taylor Perison; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2017-08-30       Impact factor: 6.006

Review 2.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

3.  Using machine learning to improve ensemble docking for drug discovery.

Authors:  Tanay Chandak; John P Mayginnes; Howard Mayes; Chung F Wong
Journal:  Proteins       Date:  2020-05-25

4.  DARC: Mapping Surface Topography by Ray-Casting for Effective Virtual Screening at Protein Interaction Sites.

Authors:  Ragul Gowthaman; Sven A Miller; Steven Rogers; Jittasak Khowsathit; Lan Lan; Nan Bai; David K Johnson; Chunjing Liu; Liang Xu; Asokan Anbanandam; Jeffrey Aubé; Anuradha Roy; John Karanicolas
Journal:  J Med Chem       Date:  2015-07-10       Impact factor: 7.446

5.  Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning.

Authors:  Joel Ricci-Lopez; Sergio A Aguila; Michael K Gilson; Carlos A Brizuela
Journal:  J Chem Inf Model       Date:  2021-10-15       Impact factor: 4.956

6.  Design of peptides with high affinity binding to a monoclonal antibody as a basis for immunotherapy.

Authors:  Surendra S Negi; Randall M Goldblum; Werner Braun; Terumi Midoro-Horiuti
Journal:  Peptides       Date:  2021-08-16       Impact factor: 3.750

7.  EDock-ML: A web server for using ensemble docking with machine learning to aid drug discovery.

Authors:  Tanay Chandak; Chung F Wong
Journal:  Protein Sci       Date:  2021-03-25       Impact factor: 6.725

8.  Accelerated flexible protein-ligand docking using Hamiltonian replica exchange with a repulsive biasing potential.

Authors:  Katja Ostermeir; Martin Zacharias
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

  8 in total

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