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Characterizing protein shape by a volume distribution asymmetry index

Articolo
Data di Pubblicazione:
2012
Abstract:
A fully quantitative shape index relying upon the asymmetry of mass distribution of protein molecules along the three space dimensions is proposed. Multidimensional statistical analysis, based on principal component extraction and subsequent linear discriminant analysis, showed the presence of three major 'attractor forms' roughly correspondent to rod-like, discoidal and spherical shapes. This classification of protein shapes was in turn demonstrated to be strictly connected with topological features of proteins, as emerging from complex network invariants of their contact maps. © Arrigo et al.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Principal component analysis; Protein contact network; Protein shape; Topological indices
Elenco autori:
D'Arrigo, Paola; Castiglione, Filippo; Paci, Paola; Santoni, Daniele
Autori di Ateneo:
CASTIGLIONE FILIPPO
SANTONI DANIELE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/21195
Pubblicato in:
THE OPEN BIOINFORMATICS JOURNAL
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-84861919862&origin=inward
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