Fast learning optimized prediction methodology (FLOPRED) for protein secondary structure prediction

Journal of Molecular Modeling

Volumn 18, Issue 9, 2012, Pages 4275-4289

  Saraswathi, S ^a   Fernandez Martinez J L ^b   Kolinski, A ^c   Jernigan, R L ^d   Kloczkowski, A ^e  

^a NATIONWIDE CHILDREN S HOSPITAL   (United States)

^b UNIVERSITY OF OVIEDO   (Spain)

^c UNIVERSITY OF WARSAW   (Poland)

^d IOWA STATE UNIVERSITY   (United States)

^e THE OHIO STATE UNIVERSITY COLLEGE OF MEDICINE   (United States)

Author keywords

Knowledge based potentials; Machine learning; Neural networks; Particle swarm optimization; Protein secondary structure prediction

Indexed keywords

ACCURACY; ADVANCED PARTICLE SWARM OPTIMIZATION; AMINO ACID SEQUENCE; ANALYTIC METHOD; ANALYTICAL PARAMETERS; ARTICLE; ENERGY; FAST LEARNING OPTIMIZED PREDICTION METHODOLOGY; MACHINE LEARNING; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN SECONDARY STRUCTURE; RELIABILITY; VALIDATION PROCESS;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; CONFIDENCE INTERVALS; DATABASES, PROTEIN; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROTEIN STRUCTURE, SECONDARY; PROTEINS;

EID: 84867581092     PISSN: 16102940     EISSN: 09485023     Source Type: Journal    
DOI: 10.1007/s00894-012-1410-7     Document Type: Article

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