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Incorporating Ab Initio energy into threading approaches for protein structure prediction
Shao, MF; Wang, S; Wang, C1; Yuan, XY; Li, SC; Zheng, WM; Bu, DB
2011
Conference Name9th Asia Pacific Bioinformatics Conference (APBC)
Source PublicationBMC BIOINFORMATICS
Volume12
PagesS54
Conference DateJAN 11-14, 2011
Conference PlaceIncheon, SOUTH KOREA
Publication PlaceLONDON
ISSN1471-2105
PublisherBIOMED CENTRAL LTD
AbstractBackground: Native structures of proteins are formed essentially due to the combining effects of local and distant (in the sense of sequence) interactions among residues. These interaction information are, explicitly or implicitly, encoded into the scoring function in protein structure prediction approaches-threading approaches usually measure an alignment in the sense that how well a sequence adopts an existing structure; while the energy functions in Ab Initio methods are designed to measure how likely a conformation is near-native. Encouraging progress has been observed in structure refinement where knowledge-based or physics-based potentials are designed to capture distant interactions. Thus, it is interesting to investigate whether distant interaction information captured by the Ab Initio energy function can be used to improve threading, especially for the weakly/distant homologous templates. Results: In this paper, we investigate the possibility to improve alignment-generating through incorporating distant interaction information into the alignment scoring function in a nontrivial approach. Specifically, the distant interaction information is introduced through employing an Ab Initio energy function to evaluate the "partial" decoy built from an alignment. Subsequently, a local search algorithm is utilized to optimize the scoring function. Experimental results demonstrate that with distant interaction items, the quality of generated alignments are improved on 68 out of 127 query-template pairs in Prosup benchmark. In addition, compared with state-to-art threading methods, our method performs better on alignment accuracy comparison. Conclusions: Incorporating Ab Initio energy functions into threading can greatly improve alignment accuracy.
KeywordFOLD RECOGNITION ALIGNMENT GENERATION SEQUENCES FRAGMENTS PROFILES
DOI10.1186/1471-2105-12-S1-S54
URL查看原文
Indexed ByCPCI
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS SubjectBiochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
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Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.itp.ac.cn/handle/311006/23620
CollectionSCI会议论文
Affiliation1.Chinese Acad Sci, Inst Theoret Phys, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
3.Int Comp Sci Inst, Berkeley, CA 94704 USA
Recommended Citation
GB/T 7714
Shao, MF,Wang, S,Wang, C,et al. Incorporating Ab Initio energy into threading approaches for protein structure prediction[C]. LONDON:BIOMED CENTRAL LTD,2011:S54.
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