Defining and predicting structurally conserved regions in protein superfamilies

Bioinformatics

Volumn 29, Issue 2, 2013, Pages 175-181

  Huang, Ivan K ^a   Pei, Jimin ^b   Grishin, Nick V ^b,c  

^a RICE UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SUGARCANE RAMU STUNT DISEASE PHYTOPLASMA;

PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CLASSIFICATION; PROTEIN DATABASE; PROTEIN MOTIF; PROTEIN TERTIARY STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; STRUCTURAL HOMOLOGY;

AMINO ACID MOTIFS; DATABASES, PROTEIN; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, TERTIARY; PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; STRUCTURAL HOMOLOGY, PROTEIN;

MLCS; MLOWN;

EID: 84872559585     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts682     Document Type: Article

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