title: From local structure to a global framework: recognition of protein folds.
abstract: 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.
authors.affiliation: Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Oxford, , Didcot OX11 0QX, UK.
authors.forename: Agnel Praveen
authors.initials: AP
authors.lastname: Joseph
authors.forename: Alexandre G
authors.initials: AG
authors.lastname: de Brevern
mesh_terms: D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism
chemical_list: D011506:Proteins
keywords: bioinformatics; local structure prediction; protein fold recognition; sequence annotation; structural alphabets; threading
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