BetaSCPWeb: side-chain prediction for protein structures using Voronoi diagrams and geometry prioritization
- Authors
- Ryu, Joonghyun; Lee, Mokwon; Cha, Jehyun; Laskowski, Roman A.; Ryu, Seong Eon; Kim, Deok-Soo
- Issue Date
- Jul-2016
- Publisher
- Oxford University Press
- Citation
- Nucleic Acids Research, v.44, no.W1, pp W416 - W423
- Indexed
- SCIE
SCOPUS
- Journal Title
- Nucleic Acids Research
- Volume
- 44
- Number
- W1
- Start Page
- W416
- End Page
- W423
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2542
- DOI
- 10.1093/nar/gkw368
- ISSN
- 0305-1048
1362-4962
- 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.
- Files in This Item
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- Appears in
Collections - 서울 공과대학 > 서울 기계공학부 > 1. Journal Articles
- 서울 공과대학 > 서울 생명공학과 > 1. Journal Articles

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