From local structure to a global framework: recognition of protein folds
Author(s) -
Agnel Praveen Joseph,
Alexandre G. de Brevern
Publication year - 2014
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 139
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2013.1147
Subject(s) - protein folding , computational biology , sequence (biology) , protein structure , fold (higher order function) , protein structure prediction , local structure , computer science , artificial intelligence , biology , chemistry , biochemistry , crystallography , programming language
Protein folding has been a major area of research for many years. Nonetheless, the mechanisms leading to the formation of an active biological fold are still not fully apprehended. The huge amount of available sequence and structural information provides hints to identify the putative fold for a given sequence. Indeed, protein structures prefer a limited number of local backbone conformations, some being characterized by preferences for certain amino acids. These preferences largely depend on the local structural environment. The prediction of local backbone conformations has become an important factor to correctly identifying the global protein fold. Here, we review the developments in the field of local structure prediction and especially their implication in protein fold recognition.
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