Genomics-aided structure prediction

Abstract

We introduce a theoretical framework that exploits the everincreasing 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 Å resolution.

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Sulkowska, Joanna I., Morcos, Faruck, Weigt, Martin, et al.. "Genomics-aided structure prediction." PNAS, 109, no. 26 (2012) 10340-10345. http://dx.doi.org/10.1073/pnas.1207864109.

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