String kernels and high-quality data set for improved prediction of kinked helices in α-helical membrane proteins

Journal of Chemical Information and Modeling

Volumn 51, Issue 11, 2011, Pages 3017-3025

  Kneissl, Benny ^a   Mueller, Sabine C ^b   Tautermann, Christofer S ^c   Hildebrandt, Andreas ^a  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

^b SAARLAND UNIVERSITY   (Germany)

^c BOEHRINGER INGELHEIM PHARMA GMBH AND CO KG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; FORECASTING; SUPPORT VECTOR MACHINES;

DIFFERENT SOLVENTS; HELICAL MEMBRANE; HIGH QUALITY DATA; MEMBRANE PROTEINS; PREDICTION METHODS; SEQUENCE ANALYSIS; STRING KERNEL; STRUCTURAL BIOINFORMATICS;

PROTEINS;

GLYCINE; MEMBRANE PROTEIN; PROLINE; SERINE;

ANIMAL; ARTICLE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; HUMAN; METABOLISM; METHODOLOGY; PROTEIN DATABASE; PROTEIN SECONDARY STRUCTURE; STATISTICAL MODEL; STATISTICS; SUPPORT VECTOR MACHINE;

ANIMALS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GLYCINE; HUMANS; MEMBRANE PROTEINS; MODELS, MOLECULAR; MODELS, STATISTICAL; PROLINE; PROTEIN STRUCTURE, SECONDARY; RESEARCH DESIGN; SERINE; SUPPORT VECTOR MACHINES;

EID: 82355168443     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci200278w     Document Type: Article

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