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  • Genomics-aided structure prediction

    Sulkowska, J.I.   Morcos, F.   Weigt, M.   Hwa, T.   Onuchic, J.N.  

    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 Aring resolution.
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