Literature DB >> 27151195

BetaSCPWeb: side-chain prediction for protein structures using Voronoi diagrams and geometry prioritization.

Joonghyun Ryu1, Mokwon Lee1, Jehyun Cha1, Roman A Laskowski2, Seong Eon Ryu3, Deok-Soo Kim4.   

Abstract

Many applications, such as protein design, homology modeling, flexible docking, etc. require the prediction of a protein's optimal side-chain conformations from just its amino acid sequence and backbone structure. Side-chain prediction (SCP) is an NP-hard energy minimization problem. Here, we present BetaSCPWeb which efficiently computes a conformation close to optimal using a geometry-prioritization method based on the Voronoi diagram of spherical atoms. Its outputs are visual, textual and PDB file format. The web server is free and open to all users at http://voronoi.hanyang.ac.kr/betascpweb with no login requirement.
© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2016        PMID: 27151195      PMCID: PMC4987919          DOI: 10.1093/nar/gkw368

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


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