Literature DB >> 11287678

Experimental and computational mapping of the binding surface of a crystalline protein.

A C English1, C R Groom, R E Hubbard.   

Abstract

Multiple Solvent Crystal Structures (MSCS) is a crystallographic technique to identify energetically favorable positions and orientations of small organic molecules on the surface of proteins. We determined the high-resolution crystal structures of thermolysin (TLN), generated from crystals soaked in 50--70% acetone, 50--80% acetonitrile and 50 mM phenol. The structures of the protein in the aqueous-organic mixtures are essentially the same as the native enzyme and a number of solvent interaction sites were identified. The distribution of probe molecules shows clusters in the main specificity pocket of the active site and a buried subsite. Within the active site, we compared the experimentally determined solvent positions with predictions from two computational functional group mapping techniques, GRID and Multiple Copy Simultaneous Search (MCSS). The experimentally determined small molecule positions are consistent with the structures of known protein--ligand complexes of TLN.

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Year:  2001        PMID: 11287678     DOI: 10.1093/protein/14.1.47

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  30 in total

1.  Computational mapping identifies the binding sites of organic solvents on proteins.

Authors:  Sheldon Dennis; Tamas Kortvelyesi; Sandor Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

2.  Hot spot analysis for driving the development of hits into leads in fragment-based drug discovery.

Authors:  David R Hall; Chi Ho Ngan; Brandon S Zerbe; Dima Kozakov; Sandor Vajda
Journal:  J Chem Inf Model       Date:  2011-12-15       Impact factor: 4.956

3.  Improved mapping of protein binding sites.

Authors:  Tamas Kortvelyesi; Michael Silberstein; Sheldon Dennis; Sandor Vajda
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

4.  Relationship between hot spot residues and ligand binding hot spots in protein-protein interfaces.

Authors:  Brandon S Zerbe; David R Hall; Sandor Vajda; Adrian Whitty; Dima Kozakov
Journal:  J Chem Inf Model       Date:  2012-07-24       Impact factor: 4.956

5.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

6.  Optimal clustering for detecting near-native conformations in protein docking.

Authors:  Dima Kozakov; Karl H Clodfelter; Sandor Vajda; Carlos J Camacho
Journal:  Biophys J       Date:  2005-05-20       Impact factor: 4.033

Review 7.  The multi-copy simultaneous search methodology: a fundamental tool for structure-based drug design.

Authors:  Christian R Schubert; Collin M Stultz
Journal:  J Comput Aided Mol Des       Date:  2009-06-09       Impact factor: 3.686

8.  Fragment-based identification of druggable 'hot spots' of proteins using Fourier domain correlation techniques.

Authors:  Ryan Brenke; Dima Kozakov; Gwo-Yu Chuang; Dmitri Beglov; David Hall; Melissa R Landon; Carla Mattos; Sandor Vajda
Journal:  Bioinformatics       Date:  2009-01-28       Impact factor: 6.937

9.  Identifying binding hot spots on protein surfaces by mixed-solvent molecular dynamics: HIV-1 protease as a test case.

Authors:  Peter M U Ung; Phani Ghanakota; Sarah E Graham; Katrina W Lexa; Heather A Carlson
Journal:  Biopolymers       Date:  2016-01       Impact factor: 2.505

10.  Improving protocols for protein mapping through proper comparison to crystallography data.

Authors:  Katrina W Lexa; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2013-02-13       Impact factor: 4.956

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