A Coarse-Grained Approach to Protein Design: Learning from Design to Understand Folding
Author(s) -
Ivan Coluzza
Publication year - 2011
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0020853
Subject(s) - energy landscape , protein design , protein folding , computer science , folding (dsp implementation) , protein structure prediction , computational biology , sampling (signal processing) , energy (signal processing) , protein structure , theoretical computer science , biological system , biology , physics , engineering , biochemistry , filter (signal processing) , quantum mechanics , electrical engineering , computer vision
Computational studies have given a great contribution in building our current understanding of the complex behavior of protein molecules; nevertheless, a complete characterization of their free energy landscape still represents a major challenge. Here, we introduce a new coarse-grained approach that allows for an extensive sampling of the conformational space of a large number of sequences. We explicitly discuss its application in protein design, and by studying four representative proteins, we show that the method generates sequences with a relatively smooth free energy surface directed towards the target structures.
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