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Comparison of topological clustering within protein networks using edge metrics that evaluate full sequence, full structure, and active site microenvironment similarity.

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第一作者： Janelle B,Leuthaeuser

第一单位： Department of Molecular Genetics and Genomics, Wake Forest University, Winston-Salem, North Carolina, 27106.

作者： Janelle B,Leuthaeuser ^[1] ; Stacy T,Knutson ^[2] ; Kiran,Kumar ^[2] ; Patricia C,Babbitt ^[3] ; Jacquelyn S,Fetrow ^[4]

作者单位： Department of Molecular Genetics and Genomics, Wake Forest University, Winston-Salem, North Carolina, 27106. ^[1] Departments of Computer Science and Physics, Wake Forest University, Winston-Salem, North Carolina, 27106. ^[2] Department of Bioengineering and Therapeutic Sciences, Institute for Quantitative Biosciences University of California San Francisco, San Francisco, California, 94158.;Department of Pharmaceutical Chemistry, Institute for Quantitative Biosciences University of California San Francisco, San Francisco, California, 94158. ^[3] Department of Molecular Genetics and Genomics, Wake Forest University, Winston-Salem, North Carolina, 27106.;Departments of Computer Science and Physics, Wake Forest University, Winston-Salem, North Carolina, 27106.;Office of the Provost, Maryland Hall 202, University of Richmond, VA, 23173. ^[4]

关键词 Structure-Function Linkage Database (SFLD)active site profiling function annotation transfer network-based clustering protein function annotation protein similarity network analysis similarity-based clustering