Genomics-aided structure prediction.
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 Å resolution.
Center for Theoretical Biological Physics, University of California at San Diego, La Jolla, CA 92093-0374, USA.
Joanna I
JI
Sułkowska
Faruck
F
Morcos
Martin
M
Weigt
Terence
T
Hwa
José N
JN
Onuchic
D000595:Amino Acid Sequence; D023281:Genomics; D056004:Molecular Dynamics Simulation; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D017386:Sequence Homology, Amino Acid
D011506:Proteins