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Functional annotation strategy for protein structures: Functional annotation strategy for protein structures

Abstract : Whole-genome sequencing projects are a major source of unknown function proteins. However, as predicting protein function from sequence remains a difficult task, research groups recently started to use 3D protein structures and structural models to bypass it. MEDSuMo compares protein surfaces analyzing the composition and spatial distribution of specific chemical groups (hydrogen bond donor, acceptor, positive, negative, aromatic, hydrophobic, guanidinium, hydroxyl, acyl and glycine). It is able to recognize proteins that have similar binding sites and thus, may perform similar functions. We present here a fine example which points out the interest of MEDSuMo approach for functional structural annotation.
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https://www.hal.inserm.fr/inserm-00143366
Contributor : Alexandre G. de Brevern <>
Submitted on : Thursday, April 26, 2007 - 10:45:15 AM
Last modification on : Saturday, March 28, 2020 - 2:24:08 AM
Long-term archiving on: : Wednesday, April 7, 2010 - 3:26:18 AM

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  • HAL Id : inserm-00143366, version 1
  • PUBMED : 17597920

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Olivia Doppelt, Fabrice Moriaud, Aurélie Bornot, Alexandre de Brevern. Functional annotation strategy for protein structures: Functional annotation strategy for protein structures. Bioinformation, Biomedical Informatics Publishing Group, 2007, 1 (9), pp.357-359. ⟨inserm-00143366⟩

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