Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment

BMC Structural Biology

Volumn 14, Issue 1, 2014, Pages

  Cao, Renzhi ^a   Wang, Zheng ^c   Cheng, Jianlin ^a,b  

^a Department of Electrical Engineering and Computer Science   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

^c UNIVERSITY OF SOUTHERN MISSISSIPPI   (United States)

Author keywords

Clustering; Protein model quality assessment; Protein model quality assurance program; Protein structure prediction; Support vector machine

Indexed keywords

STRUCTURAL PROTEIN;

ARTICLE; AUTOMATION; CONTROLLED STUDY; EVALUATION STUDY; EXPERIMENTAL STUDY; PREDICTION; PROCESS DESIGN; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE; QUALITY CONTROL; SUPPORT VECTOR MACHINE;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEINS; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84899522371     PISSN: None     EISSN: 14726807     Source Type: Journal    
DOI: 10.1186/1472-6807-14-13     Document Type: Article

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