Functional annotation strategy for protein structures: Functional annotation strategy for protein structures
| Autor: | Doppelt, Olivia, Moriaud, Fabrice, Bornot, Aurélie, De Brevern, Alexandre |
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| Přispěvatelé: | Bioinformatique génomique et moléculaire ((U 726)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7), Molecular Extended Distribution in Information Technology (MEDIT), MEDIT SA |
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: | |
| Zdroj: | Bioinformation Bioinformation, Biomedical Informatics Publishing Group, 2007, 1 (9), pp.357-359 |
| ISSN: | 0973-2063 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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