Literature DB >> 21366353

Correlation between protein function and ligand binding profiles.

Matthew D Shortridge1, Michael Bokemper, Jennifer C Copeland, Jaime L Stark, Robert Powers.   

Abstract

We report that proteins with the same function bind the same set of small molecules from a standardized chemical library. This observation led to a quantifiable and rapidly adaptable method for protein functional analysis using experimentally derived ligand binding profiles. Ligand binding is measured using a high-throughput NMR ligand affinity screen with a structurally diverse chemical library. The method was demonstrated using a set of 19 proteins with a range of functions. A statistically significant similarity in ligand binding profiles was only observed between the two functionally identical albumins and between the five functionally similar amylases. This new approach is independent of sequence, structure, or evolutionary information and, therefore, extends our ability to analyze and functionally annotate novel genes.

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Year:  2011        PMID: 21366353      PMCID: PMC3090486          DOI: 10.1021/pr200015d

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  34 in total

1.  Virtual computational chemistry laboratory--design and description.

Authors:  Igor V Tetko; Johann Gasteiger; Roberto Todeschini; Andrea Mauri; David Livingstone; Peter Ertl; Vladimir A Palyulin; Eugene V Radchenko; Nikolay S Zefirov; Alexander S Makarenko; Vsevolod Yu Tanchuk; Volodymyr V Prokopenko
Journal:  J Comput Aided Mol Des       Date:  2005-06       Impact factor: 3.686

Review 2.  Kinomics: characterizing the therapeutically validated kinase space.

Authors:  Michal Vieth; Jeffrey J Sutherland; Daniel H Robertson; Robert M Campbell
Journal:  Drug Discov Today       Date:  2005-06-15       Impact factor: 7.851

3.  Global mapping of pharmacological space.

Authors:  Gaia V Paolini; Richard H B Shapland; Willem P van Hoorn; Jonathan S Mason; Andrew L Hopkins
Journal:  Nat Biotechnol       Date:  2006-07       Impact factor: 54.908

4.  Assessment of chemical coverage of kinome space and its implications for kinase drug discovery.

Authors:  Paul Bamborough; David Drewry; Gavin Harper; Gary K Smith; Klaus Schneider
Journal:  J Med Chem       Date:  2008-12-25       Impact factor: 7.446

5.  Methods for assessing the statistical significance of molecular sequence features by using general scoring schemes.

Authors:  S Karlin; S F Altschul
Journal:  Proc Natl Acad Sci U S A       Date:  1990-03       Impact factor: 11.205

6.  Organic solvents identify specific ligand binding sites on protein surfaces.

Authors:  E Liepinsh; G Otting
Journal:  Nat Biotechnol       Date:  1997-03       Impact factor: 54.908

7.  An information-intensive approach to the molecular pharmacology of cancer.

Authors:  J N Weinstein; T G Myers; P M O'Connor; S H Friend; A J Fornace; K W Kohn; T Fojo; S E Bates; L V Rubinstein; N L Anderson; J K Buolamwini; W W van Osdol; A P Monks; D A Scudiero; E A Sausville; D W Zaharevitz; B Bunow; V N Viswanadhan; G S Johnson; R E Wittes; K D Paull
Journal:  Science       Date:  1997-01-17       Impact factor: 47.728

8.  A multi-step NMR screen for the identification and evaluation of chemical leads for drug discovery.

Authors:  Kelly A Mercier; Matthew D Shortridge; Robert Powers
Journal:  Comb Chem High Throughput Screen       Date:  2009-03       Impact factor: 1.339

9.  Structural and functional similarity between the bacterial type III secretion system needle protein PrgI and the eukaryotic apoptosis Bcl-2 proteins.

Authors:  Matthew D Shortridge; Robert Powers
Journal:  PLoS One       Date:  2009-10-13       Impact factor: 3.240

10.  FunSimMat: a comprehensive functional similarity database.

Authors:  Andreas Schlicker; Mario Albrecht
Journal:  Nucleic Acids Res       Date:  2007-10-11       Impact factor: 16.971

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