The influence of gapped positions in multiple sequence alignments on secondary structure prediction methods

Computational Biology and Chemistry

Volumn 28, Issue 5-6, 2004, Pages 351-366

  Simossis, V A ^a   Heringa, J ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Dynamic programming; Local weighting; Optimal segmentation; Prediction optimization; Protein secondary structure prediction

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; DYNAMIC PROGRAMMING; OPTIMIZATION;

LOCAL WEIGHTING; MULTIPLE SEQUENCE ALIGNMENTS (MSA); OPTIMAL SEGMENTATION; PREDICTION OPTIMIZATION; PROTEIN SECONDARY STRUCTURE PREDICTION;

PROTEINS;

PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; BIOLOGY; CHEMISTRY; CLASSIFICATION; METHODOLOGY; MOLECULAR GENETICS; NUCLEOTIDE SEQUENCE; PROTEIN DATABASE; PROTEIN SECONDARY STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; CONSERVED SEQUENCE; DATABASES, PROTEIN; MOLECULAR SEQUENCE DATA; PROTEIN STRUCTURE, SECONDARY; PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY, AMINO ACID;

EID: 9544241332     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2004.09.005     Document Type: Article

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