The first use of a two-level approach that combines Self-Organizing Maps (SOMs) and hierarchical clustering for the comparison of protein dynamics is presented. The method was developed and tested on the SH3 domain and a group of its mutants and successfully recovered information about the differences in the domain flexibilities that affect their biological function. The approach was then extended to other study cases to analyse the role of conformational flexibility in modulating the domain functions.

Fraccalvieri, D., Stella, F., Pandini, A., Bonati, L. (2011). A new methodology for the comparison of protein dynamics based on self-organizing maps. In Proceedings.

A new methodology for the comparison of protein dynamics based on self-organizing maps

FRACCALVIERI, DOMENICO;STELLA, FABIO ANTONIO;BONATI, LAURA
2011

Abstract

The first use of a two-level approach that combines Self-Organizing Maps (SOMs) and hierarchical clustering for the comparison of protein dynamics is presented. The method was developed and tested on the SH3 domain and a group of its mutants and successfully recovered information about the differences in the domain flexibilities that affect their biological function. The approach was then extended to other study cases to analyse the role of conformational flexibility in modulating the domain functions.
abstract + poster
molecular dynamics, protein flexibility, data mining, neural networks, Self-Organizing Maps
English
3DSIG 2011: Structural Bioinformatics & Computational Biophysics
2011
Proceedings
2011
http://bcb.med.usherbrooke.ca/3dsig11/Home.html
none
Fraccalvieri, D., Stella, F., Pandini, A., Bonati, L. (2011). A new methodology for the comparison of protein dynamics based on self-organizing maps. In Proceedings.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/30639
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