Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/53867
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dc.title3D protein peptide chain search using an improved genetic algorithm
dc.contributor.authorYang, Z.
dc.contributor.authorLiu, G.
dc.date.accessioned2014-06-16T09:22:56Z
dc.date.available2014-06-16T09:22:56Z
dc.date.issued2003
dc.identifier.citationYang, Z.,Liu, G. (2003). 3D protein peptide chain search using an improved genetic algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2667 : 322-329. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53867
dc.description.abstractIn this paper, an efficient searching algorithm, namely intergeneration projection micro genetic algorithm (IP-μGA) is introduced to search the three dimensional protein conformations. A bond rotation model is developed, in which variables are the dihedral angles along peptide main chain. The root mean square deviation (RMSD) is adopted as the fitness function in the searching process and the template protein structures in protein data bank (PDB) are used for comparison. The results of 3D peptide structures of examples show the effectiveness of present method. © Springer-Verlag Berlin Heidelberg 2003.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume2667
dc.description.page322-329
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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