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• W2076223139 startingPage "e20853" @default.
• W2076223139 abstract "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." @default.
• W2076223139 created "2016-06-24" @default.
• W2076223139 creator A5026141543 @default.
• W2076223139 date "2011-07-01" @default.
• W2076223139 modified "2023-09-23" @default.
• W2076223139 title "A Coarse-Grained Approach to Protein Design: Learning from Design to Understand Folding" @default.
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• W2076223139 doi "https://doi.org/10.1371/journal.pone.0020853" @default.
• W2076223139 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3128589" @default.
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