Literature DB >> 22569329

Protein flexibility in docking and surface mapping.

Katrina W Lexa1, Heather A Carlson.   

Abstract

Structure-based drug design has become an essential tool for rapid lead discovery and optimization. As available structural information has increased, researchers have become increasingly aware of the importance of protein flexibility for accurate description of the native state. Typical protein-ligand docking efforts still rely on a single rigid receptor, which is an incomplete representation of potential binding conformations of the protein. These rigid docking efforts typically show the best performance rates between 50 and 75%, while fully flexible docking methods can enhance pose prediction up to 80-95%. This review examines the current toolbox for flexible protein-ligand docking and receptor surface mapping. Present limitations and possibilities for future development are discussed.

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Year:  2012        PMID: 22569329      PMCID: PMC4272345          DOI: 10.1017/S0033583512000066

Source DB:  PubMed          Journal:  Q Rev Biophys        ISSN: 0033-5835            Impact factor:   5.318


  169 in total

1.  Organic solvents order the dynamic switch II in Ras crystals.

Authors:  Greg Buhrman; Vesna de Serrano; Carla Mattos
Journal:  Structure       Date:  2003-07       Impact factor: 5.006

2.  Rapid protein-ligand docking using soft modes from molecular dynamics simulations to account for protein deformability: binding of FK506 to FKBP.

Authors:  Martin Zacharias
Journal:  Proteins       Date:  2004-03-01

3.  Soft docking and multiple receptor conformations in virtual screening.

Authors:  Anna Maria Ferrari; Binqing Q Wei; Luca Costantino; Brian K Shoichet
Journal:  J Med Chem       Date:  2004-10-07       Impact factor: 7.446

Review 4.  Target flexibility in molecular recognition.

Authors:  J Andrew McCammon
Journal:  Biochim Biophys Acta       Date:  2005-09-12

5.  A novel approach using pharmacophore ensemble/support vector machine (PhE/SVM) for prediction of hERG liability.

Authors:  Max K Leong
Journal:  Chem Res Toxicol       Date:  2007-01-30       Impact factor: 3.739

6.  Addressing protein flexibility and ligand selectivity by "in situ cross-docking".

Authors:  Matthias Zentgraf; Jasmine Fokkens; Christoph A Sotriffer
Journal:  ChemMedChem       Date:  2006-12       Impact factor: 3.466

7.  Docking ligands into flexible and solvated macromolecules. 1. Development and validation of FITTED 1.0.

Authors:  Christopher R Corbeil; Pablo Englebienne; Nicolas Moitessier
Journal:  J Chem Inf Model       Date:  2007-02-17       Impact factor: 4.956

8.  High-resolution structure of the p53 core domain: implications for binding small-molecule stabilizing compounds.

Authors:  William C Ho; Cheng Luo; Kehao Zhao; Xiaomei Chai; Mary X Fitzgerald; Ronen Marmorstein
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2006-11-23

9.  Small molecule inhibitors of the MDM2-p53 interaction discovered by ensemble-based receptor models.

Authors:  Anna L Bowman; Zaneta Nikolovska-Coleska; Haizhen Zhong; Shaomeng Wang; Heather A Carlson
Journal:  J Am Chem Soc       Date:  2007-09-29       Impact factor: 15.419

10.  A structure-based design approach for the identification of novel inhibitors: application to an alanine racemase.

Authors:  Gabriela Iurcu Mustata; James M Briggs
Journal:  J Comput Aided Mol Des       Date:  2002-12       Impact factor: 3.686

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  33 in total

1.  Exploiting conformational dynamics in drug discovery: design of C-terminal inhibitors of Hsp90 with improved activities.

Authors:  Elisabetta Moroni; Huiping Zhao; Brian S J Blagg; Giorgio Colombo
Journal:  J Chem Inf Model       Date:  2014-01-15       Impact factor: 4.956

2.  Variability of the Cyclin-Dependent Kinase 2 Flexibility Without Significant Change in the Initial Conformation of the Protein or Its Environment; a Computational Study.

Authors:  Mohammad Taghizadeh; Bahram Goliaei; Armin Madadkar-Sobhani
Journal:  Iran J Biotechnol       Date:  2016-06       Impact factor: 1.671

3.  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 4.  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

5.  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

6.  BP-Dock: a flexible docking scheme for exploring protein-ligand interactions based on unbound structures.

Authors:  Ashini Bolia; Z Nevin Gerek; S Banu Ozkan
Journal:  J Chem Inf Model       Date:  2014-03-04       Impact factor: 4.956

7.  Flexible CDOCKER: Development and application of a pseudo-explicit structure-based docking method within CHARMM.

Authors:  Jessica K Gagnon; Sean M Law; Charles L Brooks
Journal:  J Comput Chem       Date:  2015-12-21       Impact factor: 3.376

8.  Benchmark Sets for Binding Hot Spot Identification in Fragment-Based Ligand Discovery.

Authors:  Amanda E Wakefield; Christine Yueh; Dmitri Beglov; Marcelo S Castilho; Dima Kozakov; György M Keserű; Adrian Whitty; Sandor Vajda
Journal:  J Chem Inf Model       Date:  2020-12-08       Impact factor: 4.956

9.  Synergistic antibacterial effects of herbal extracts and antibiotics on methicillin-resistant Staphylococcus aureus: A computational and experimental study.

Authors:  Chiu-Fai Kuok; Sai-On Hoi; Chi-Fai Hoi; Chi-Hong Chan; Io-Hong Fong; Cheong-Kei Ngok; Li-Rong Meng; Pedro Fong
Journal:  Exp Biol Med (Maywood)       Date:  2017-01-01

10.  Free Energies and Entropies of Binding Sites Identified by MixMD Cosolvent Simulations.

Authors:  Phani Ghanakota; Debarati DasGupta; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2019-05-02       Impact factor: 4.956

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