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Predicting Protein Secondary Structure Using Consensus Data Mining (CDM) Based on Empirical Statistics and Evolutionary Information.

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第一作者： Gaurav,Kandoi

第一单位： Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA, USA.;Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA.

作者： Gaurav,Kandoi ^[1] ; Sumudu P,Leelananda ^[2] ; Robert L,Jernigan ^[3] ; Taner Z,Sen ^[4]

作者单位： Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA, USA.;Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA. ^[1] Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA. ^[2] Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA, USA.;Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, Ames, IA, USA. ^[3] Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA, USA. taner@iastate.edu.;Department of Genetics, Development and Cell Biology, Iowa State University, 1025 Crop Genome Informatics Lab, Ames, IA, 50011, USA. taner@iastate.edu. ^[4]

关键词 Consensus data mining Fragment database mining GOR Machine learning Multiple sequence alignments Protein structure prediction Secondary structure

医学主题词算法(Algorithms);氨基酸序列(Amino Acid Sequence);数据挖掘(Data Mining);蛋白质结构, 二级(Protein Structure, Secondary);蛋白质类(Proteins);序列比对(Sequence Alignment);软件(Software)

DOI 10.1007/978-1-4939-6406-2_4

PMID 27787818

发布时间 2024-05-14

基金项目

R01 GM072014/GM/NIGMS NIH HHS/United States

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