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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40355

Title: A Large-Scale Structural Classification of Antimicrobial Peptides
Authors: Hao-Ting Lee;Chen-Che Lee;Je-Ruei Yang;Jim Z. C. Lai;Kuan Y. Chang
Contributors: 國立臺灣海洋大學:資訊工程學系
Date: 2015
Issue Date: 2017-01-17T08:07:33Z
Publisher: BioMed Research International
Abstract: Abstract: Antimicrobial peptides (AMPs) are potent drug candidates against microbial organisms such as bacteria, fungi, parasites, and viruses. AMPs have abundant sequences and structures, two fundamental resources for bioinformatics researches, but analyses on how they associate with each other are either nonexistent or limited to partial classification and data. We thus present A Database of Anti-Microbial peptides (ADAM), which contains 7,007 unique sequences and 759 structures, to systematically establish comprehensive associations between AMP sequences and structures through structural folds and to provide an easy access to view their relationships. 30 distinct AMP structural fold clusters with more than one structure are detected and about a thousand AMPs are associated with at least one structural fold cluster. According to ADAM, AMP structural folds are limited—AMPs only cover about 3% of the overall protein fold space.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40355
Appears in Collections:[資訊工程學系] 期刊論文

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