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Protein surface similarities: a survey of methods to describe and compare protein surfaces
Author(s) -
A. Via,
Fabrizio Ferrè,
Barbara Brannetti,
Manuela HelmerCitterich
Publication year - 2000
Publication title -
cellular and molecular life sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.928
H-Index - 223
eISSN - 1420-9071
pISSN - 1420-682X
DOI - 10.1007/pl00000677
Subject(s) - similarity (geometry) , surface protein , computational biology , sequence (biology) , surface (topology) , protein structure , function (biology) , protein sequencing , protein function prediction , computer science , biology , protein function , biological system , peptide sequence , mathematics , evolutionary biology , genetics , artificial intelligence , geometry , biochemistry , gene , virology , image (mathematics)
Many methods have been developed to analyse protein sequences and structures, although less work has been undertaken describing and comparing protein surfaces. Evolution can lead sequences to diverge or structures to change topology; nevertheless, surface determinants that are essential to protein function itself may be mantained. Moreover, different molecules could converge to similar functions by gaining specific surface determinants. In such cases, sequence or structure comparisons are likely to be inadequate in describing or identifying protein functions and evolutionary relationships among proteins. Surface analysis can identify function determinants that are independent of sequence or secondary structure and can therefore be a powerful tool to highlight cases of possible convergent or divergent evolution. This kind of approach can be useful for a better understanding of protein molecular and biochemical mechanisms of catalysis or interaction with a ligand, which are usually surface dependent. Protein surface comparison, when compared to sequence or structure comparison methods, is a hard computational challenge and evaluated methods allowing the comparison of protein surfaces are difficult to find. In this review, we will survey the current knowledge about protein surface similarity and the techniques to detect it.

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