Literature DB >> 9630949

Locating and characterizing binding sites on proteins.

C Mattos1, D Ringe.   

Abstract

This review article begins with a discussion of fundamental differences between substrates and inhibitors, and some of the assumptions and goals underlying the design of a new ligand to a target protein. An overview is given of the methods currently used to locate and characterize ligand binding sites on protein surfaces, with focus on a novel approach: multiple solvent crystal structures (MSCS). In this method, the X-ray crystal structure of the target protein is solved in a variety of organic solvents. Each type of solvent molecule serves as a probe for complementary binding sites on the protein. The probe distribution on the protein surface allows the location of binding sites and the characterization of the potential ligand interactions within these sites. General aspects of the application of the MSCS method to porcine pancreatic elastase is discussed, and comparison of the results with those from X-ray crystal structures of elastase/inhibitor complexes is used to illustrate the potential of the method in aiding the process of rational drug design.

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Year:  1996        PMID: 9630949     DOI: 10.1038/nbt0596-595

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  87 in total

1.  Use of organic solvents and small molecules for locating binding sites on proteins in solutions.

Authors:  C Dalvit; P Floersheim; M Zurini; A Widmer
Journal:  J Biomol NMR       Date:  1999-05       Impact factor: 2.835

2.  Automation of NMR measurements and data evaluation for systematically screening interactions of small molecules with target proteins.

Authors:  A Ross; G Schlotterbeck; W Klaus; H Senn
Journal:  J Biomol NMR       Date:  2000-02       Impact factor: 2.835

3.  Fast prediction and visualization of protein binding pockets with PASS.

Authors:  G P Brady; P F Stouten
Journal:  J Comput Aided Mol Des       Date:  2000-05       Impact factor: 3.686

4.  Probing the surface of a sweet protein: NMR study of MNEI with a paramagnetic probe.

Authors:  N Niccolai; R Spadaccini; M Scarselli; A Bernini; O Crescenzi; O Spiga; A Ciutti; D Di Maro; L Bracci; C Dalvit; P A Temussi
Journal:  Protein Sci       Date:  2001-08       Impact factor: 6.725

5.  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

6.  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

Review 7.  Evolutionary origins of the estrogen signaling system: insights from amphioxus.

Authors:  G V Callard; A M Tarrant; A Novillo; P Yacci; L Ciaccia; S Vajda; G-Y Chuang; D Kozakov; S R Greytak; S Sawyer; C Hoover; K A Cotter
Journal:  J Steroid Biochem Mol Biol       Date:  2011-04-14       Impact factor: 4.292

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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