Literature DB >> 8609628

An evolutionary trace method defines binding surfaces common to protein families.

O Lichtarge1, H R Bourne, F E Cohen.   

Abstract

X-ray or NMR structures of proteins are often derived without their ligands, and even when the structure of a full complex is available, the area of contact that is functionally and energetically significant may be a specialized subset of the geometric interface deduced from the spatial proximity between ligands. Thus, even after a structure is solved, it remains a major theoretical and experimental goal to localize protein functional interfaces and understand the role of their constituent residues. The evolutionary trace method is a systematic, transparent and novel predictive technique that identifies active sites and functional interfaces in proteins with known structure. It is based on the extraction of functionally important residues from sequence conservation patterns in homologous proteins, and on their mapping onto the protein surface to generate clusters identifying functional interfaces. The SH2 and SH3 modular signaling domains and the DNA binding domain of the nuclear hormone receptors provide tests for the accuracy and validity of our method. In each case, the evolutionary trace delineates the functional epitope and identifies residues critical to binding specificity. Based on mutational evolutionary analysis and on the structural homology of protein families, this simple and versatile approach should help focus site-directed mutagenesis studies of structure-function relationships in macromolecules, as well as studies of specificity in molecular recognition. More generally, it provides an evolutionary perspective for judging the functional or structural role of each residue in protein structure.

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Year:  1996        PMID: 8609628     DOI: 10.1006/jmbi.1996.0167

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  440 in total

1.  Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems.

Authors:  F Horn; G Vriend; F E Cohen
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Identification of protein oligomerization states by analysis of interface conservation.

Authors:  A H Elcock; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-06       Impact factor: 11.205

3.  Function-structure analysis of proteins using covarion-based evolutionary approaches: Elongation factors.

Authors:  E A Gaucher; M M Miyamoto; S A Benner
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

4.  Inference of functional regions in proteins by quantification of evolutionary constraints.

Authors:  Alexander L Simon; Eric A Stone; Arend Sidow
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-05       Impact factor: 11.205

5.  Initial Cluster Analysis.

Authors:  Stephen F Altschul; Andrew F Neuwald
Journal:  J Comput Biol       Date:  2017-08-03       Impact factor: 1.479

6.  From protein structure to biochemical function?

Authors:  Roman A Laskowski; James D Watson; Janet M Thornton
Journal:  J Struct Funct Genomics       Date:  2003

Review 7.  Accurate and scalable identification of functional sites by evolutionary tracing.

Authors:  Olivier Lichtarge; Hui Yao; David M Kristensen; Srinivasan Madabushi; Ivana Mihalek
Journal:  J Struct Funct Genomics       Date:  2003

8.  Are protein-protein interfaces more conserved in sequence than the rest of the protein surface?

Authors:  Daniel R Caffrey; Shyamal Somaroo; Jason D Hughes; Julian Mintseris; Enoch S Huang
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

9.  Protein-protein interactions: structurally conserved residues distinguish between binding sites and exposed protein surfaces.

Authors:  Buyong Ma; Tal Elkayam; Haim Wolfson; Ruth Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-01       Impact factor: 11.205

10.  Solution structure of inhibitor-free human metalloelastase (MMP-12) indicates an internal conformational adjustment.

Authors:  Rajagopalan Bhaskaran; Mark O Palmier; Nusayba A Bagegni; Xiangyang Liang; Steven R Van Doren
Journal:  J Mol Biol       Date:  2007-10-16       Impact factor: 5.469

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