Prediction of protein submitochondria locations based on data fusion of various features of sequences

Journal of Theoretical Biology

Volumn 269, Issue 1, 2011, Pages 208-216

  Zakeri, Pooya ^a,b   Moshiri, Behzad ^c   Sadeghi, Mehdi ^b,d  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^b INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

^d NATIONAL INSTITUTE OF GENETIC ENGINEERING AND BIOTECHNOLOGY   (Iran)

Author keywords

Ordered weighted averaging; Pairwise sequence similarity; Subcellular localization; Support vector machines

Indexed keywords

MITOCHONDRIAL PROTEIN;

CHEMICAL COMPOSITION; MODEL VALIDATION; PEPTIDE; PREDICTION; PROTEIN;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; CELLULAR DISTRIBUTION; CONTROLLED STUDY; MATHEMATICAL MODEL; MITOCHONDRION; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DOMAIN; PROTEIN FUNCTION; PROTEIN LOCALIZATION; PROTEIN SECONDARY STRUCTURE; SEQUENCE HOMOLOGY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MITOCHONDRIA; MITOCHONDRIAL PROTEINS; PROTEIN TRANSPORT; SEQUENCE ANALYSIS, PROTEIN;

VASCONCELLEA CANDICANS;

EID: 78149247827     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2010.10.026     Document Type: Article

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