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BetaMDGP: Protein structure determination algorithm based on the beta-complex

Authors
Seo, JeongyeonKim, Jae KwanRyu, JoonghyunLavor, CarlileMucherino, AntonioKim, Deok Soo
Issue Date
Sep-2014
Publisher
Springer Verlag
Keywords
Beta-complex; Molecular Distance Geometry Problem; Protein structure determination; Quasi-triangulation; Voronoi Diagram
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.8360, pp.130 - 155
Indexed
SCOPUS
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
8360
Start Page
130
End Page
155
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142659
DOI
10.1007/978-3-642-54212-1_7
ISSN
0302-9743
Abstract
The molecular distance geometry problem (MDGP) is a fundamental problem in determining molecular structures from the NMR data. We present a heuristic algorithm, the BetaMDGP, which outperforms existing algorithms for solving the MDGP. The BetaMDGP algorithm is based on the beta-complex, which is a geometric construct extracted from the quasi-triangulation derived from the Voronoi diagram of atoms. Starting with an initial tetrahedron defined by the centers of four closely located atoms, the BetaMDGP determines a molecular structure by adding one shell of atoms around the currently determined substructure using the beta-complex. The proposed algorithm has been entirely implemented and tested with atomic arrangements stored in an NMR format created from PDB files. Experimental results are also provided to show the powerful capability of the proposed algorithm.
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