Predicting PDZ domain-peptide interactions from primary sequences

Nature Biotechnology

Volumn 26, Issue 9, 2008, Pages 1041-1045

  Chen, Jiunn R ^a,c   Chang, Bryan H ^b   Allen, John E ^b   Stiffler, Michael A ^b,d   MacBeath, Gavin ^b  

^a HARVARD UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

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

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BINDING ENERGY; FLOW INTERACTIONS; PARAMETER ESTIMATION; PEPTIDES; THREE DIMENSIONAL;

PDZ DOMAINS;

AMINES;

LIGAND; PDZ PROTEIN; PEPTIDE;

AMINO ACID SEQUENCE; ARTICLE; BAYES THEOREM; BINDING AFFINITY; CAENORHABDITIS; CARBOXY TERMINAL SEQUENCE; CLONING; DROSOPHILA MELANOGASTER; GENOME; MOUSE; NONHUMAN; POINT MUTATION; PREDICTION; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN DOMAIN; PROTEIN EXPRESSION; PROTEIN PURIFICATION; SCORING SYSTEM; SEQUENCE ANALYSIS;

ANIMALS; BASE SEQUENCE; CAENORHABDITIS ELEGANS; COMPUTATIONAL BIOLOGY; DROSOPHILA MELANOGASTER; KINETICS; LIGANDS; MICE; MICROSCOPY, FLUORESCENCE; MOLECULAR CONFORMATION; MOLECULAR SEQUENCE DATA; PEPTIDES; PROTEIN BINDING; PROTEIN STRUCTURE, TERTIARY; ROC CURVE;

CAENORHABDITIS ELEGANS; DROSOPHILA MELANOGASTER;

EID: 51349085386     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/nbt.1489     Document Type: Article

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