Genomics-aided structure prediction

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Sulkowska, Joanna I. | Morcos, Faruck | Weigt, Martin | Hwa, Terence | Onuchic, Jose N.

Edité par CCSD ; National Academy of Sciences -

International audience. We introduce a theoretical framework that exploits the ever-increasing genomic sequence information for protein structure prediction. Structure-based models are modified to incorporate constraints by a large number of non-local contacts estimated from direct coupling analysis (DCA) of co-evolving genomic sequences. A simple hybrid method, called DCA-fold, integrating DCA contacts with an accurate knowledge of local information (e. g., the local secondary structure) is sufficient to fold proteins in the range of 1-3 angstrom resolution.

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