title: 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. MED-SuMo 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 MED-SuMo approach for functional structural annotation.
authors.affiliation: Equipe de Bioinformatique Génomique et Moléculaire (EBGM), INSERM UMR-S 726, Université Denis Diderot - Paris 7, France.
authors.forename: Olivia
authors.initials: O
authors.lastname: Doppelt
authors.forename: Fabrice
authors.initials: F
authors.lastname: Moriaud
authors.forename: Aurélie
authors.initials: A
authors.lastname: Bornot
authors.forename: Alexandre G
authors.initials: AG
authors.lastname: de Brevern