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

Protein Science

Volumn 24, Issue 9, 2015, Pages 1423-1439

  Leuthaeuser, Janelle B ^a   Knutson, Stacy T ^b   Kumar, Kiran ^b   Babbitt, Patricia C ^c,d   Fetrow, Jacquelyn S ^a,b  

^a WAKE FOREST SCHOOL OF MEDICINE   (United States)

^b WAKE FOREST UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

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

Indexed keywords

ENOLASE; ENOYL COENZYME A HYDRATASE; GLUTATHIONE TRANSFERASE; PEROXIREDOXIN; PROTEIN;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; ENZYME ACTIVE SITE; ENZYME STRUCTURE; MICROENVIRONMENT; MOLECULAR DYNAMICS; PRIORITY JOURNAL; PROTEIN FUNCTION; SEQUENCE ALIGNMENT; STATIC ELECTRICITY; STRUCTURE ACTIVITY RELATION; BIOLOGY; CHEMISTRY; CLUSTER ANALYSIS; COMPARATIVE STUDY; MOLECULAR GENETICS; PROCEDURES; PROTEIN DATABASE; PROTEIN PROTEIN INTERACTION; TUMOR MICROENVIRONMENT;

AMINO ACID SEQUENCE; CATALYTIC DOMAIN; CELLULAR MICROENVIRONMENT; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MOLECULAR SEQUENCE ANNOTATION; MOLECULAR SEQUENCE DATA; PROTEIN INTERACTION MAPS; PROTEINS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84950123682     PISSN: 09618368     EISSN: 1469896X     Source Type: Journal    
DOI: 10.1002/pro.2724     Document Type: Article

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