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Exploiting structural classifications for function prediction: towards a domain grammar for protein function

Dessailly, BH; Redfern, OC; Cuff, A; Orengo, CA; (2009) Exploiting structural classifications for function prediction: towards a domain grammar for protein function. CURR OPIN STRUC BIOL , 19 (3) 349 - 356. 10.1016/j.sbi.2009.03.009.

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Abstract

The ability to assign function to proteins has become a major bottleneck for comprehensively understanding cellular mechanisms at the molecular level. Here we discuss the extent to which structural domain classifications can help in deciphering the complex relationship between the functions of proteins and their sequences and structures. Structural classifications are particularly helpful in understanding the mosaic manner in which new proteins and functions emerge through evolution. This is partly because they provide reliable and concrete domain definitions and enable the detection of very remote structural similarities and homologies. It is also because structural data can illuminate more clearly the mechanisms by which a broader functional repertoire can emerge during evolution.

Type: Article
Title: Exploiting structural classifications for function prediction: towards a domain grammar for protein function
DOI: 10.1016/j.sbi.2009.03.009
Keywords: FOLD SPACE, STRUCTURE ALIGNMENT, GENE FAMILIES, EVOLUTION, DATABASE, SUPERFAMILIES, ANNOTATION, INFERENCE, SEQUENCE, ENZYME
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
URI: http://discovery.ucl.ac.uk/id/eprint/1298877
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