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DOI 10.1002/prot.24920

Медицинская библиотека · Proteins · 2015

Protein structure prediction using residue- and fragment-environment potentials in CASP11.

Kim Hyungrae, Kihara Daisuke

СтатьяПоддержка правительства СШАПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

An accurate scoring function that can select near-native structure models from a pool of alternative models is key for successful protein structure prediction. For the critical assessment of techniques for protein structure prediction (CASP) 11, we have built a protocol of protein structure prediction that has novel coarse-grained scoring functions for selecting decoys as the heart of its pipeline. The score named PRESCO (Protein Residue Environment SCOre) developed recently by our group evaluates the native-likeness of local structural environment of residues in a structure decoy considering positions and the depth of side-chains of spatially neighboring residues. We also introduced a helix interaction potential as an additional scoring function for selecting decoys. The best models selected by PRESCO and the helix interaction potential underwent structure refinement, which includes side-chain modeling and relaxation with a short molecular dynamics simulation. Our protocol was successful, achieving the top rank in the free modeling category with a significant margin of the accumulated Z-score to the subsequent groups when the top 1 models were considered. Proteins 2016; 84(Suppl 1):105-117. © 2015 Wiley Periodicals, Inc.

Для цитирования: Kim Hyungrae, Kihara Daisuke. Protein structure prediction using residue- and fragment-environment potentials in CASP11.. Proteins. 2015. DOI: 10.1002/prot.24920.

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