Characterizing Protein Shape by a Volume Distribution Asymmetry Index

Characterizing Protein Shape by a Volume Distribution Asymmetry Index

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...

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Veröffentlicht in:The open bioinformatics journal 2012-05, Vol.6 (1), p.20-27
Hauptverfasser: Arrigo, Nicola, Paci, Paola, Di Paola, Luisa, Santoni, Daniele, De Ruvo, Micol, Giuliani, Alessandro, Castiglione, Filippo
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container_end_page 27
container_issue 1
container_start_page 20
container_title The open bioinformatics journal
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creator Arrigo, Nicola
Paci, Paola
Di Paola, Luisa
Santoni, Daniele
De Ruvo, Micol
Giuliani, Alessandro
Castiglione, Filippo
description 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.
doi_str_mv 10.2174/1875036201206010020
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