BetaSCP2: A program for the optimal prediction of side-chains in proteins

  • Ryu, Joonghyun
  • Lee, Mokwon
  • Cha, Jehyun
  • Song, Chanyoung
  • Kim, Deok-Soo
Citations

SCOPUS

1

초록

The side-chain prediction problem (SCP-problem), is a computational problem to predict the optimal structure of proteins by finding the optimal dihedral angles. The SCP-problem is one of key computational cornerstones for many important problems such as protein design, flexible docking of proteins, homology modeling, etc. The SCP-problem can be formulated as a minimization problem of an integer linear program which is NP-hard thus inevitably invites heuristic approach to find the solution. In this paper, we report a heuristic algorithm, called BetaSCP2, which quickly finds an excellent solution of the SCP-problem. The solution process of the BetaSCP2 is facilitated by the Voronoi diagram and its dual structure called the quasi-triangulation. The BetaSCP2 is entirely implemented using the Molecular Geometry engine called BULL! which has been developed by Voronoi Diagram Research Center (VDRC) in C++ programming language. The benchmark test of the BetaSCP2 with other programs is also provided. The BetaSCP2 program is available as both a stand-alone and a web server program from VDRC.

키워드

beta-complexBetaSCP2protein structure/functionquasi-triangulationside-chain predictionVoronoi diagramBenchmarkingC++ (programming language)ChainsComputational geometryForecastingGraphic methodsHeuristic algorithmsHeuristic methodsInteger programmingProteinsStructural optimizationTriangulationBeta complexesBetaSCP2Protein structuresQuasi triangulationsSide-chainsVoronoi diagramsProblem oriented languages
제목
BetaSCP2: A program for the optimal prediction of side-chains in proteins
저자
Ryu, JoonghyunLee, MokwonCha, JehyunSong, ChanyoungKim, Deok-Soo
DOI
10.1007/978-3-662-44199-2_52
발행일
2014-08
유형
Conference Paper
저널명
Lecture Notes in Computer Science
8592 LNCS
페이지
333 ~ 340