Joint evolutionary trees: A large-scale method to predict protein interfaces based on sequence sampling

PLoS Computational Biology

Volumn 5, Issue 1, 2009, Pages

  Engelen, Stefan ^a,b   Trojan, Ladislas A ^a,b   Sacquin Mora, Sophie ^c   Lavery, Richard ^d   Carbone, Alessandra ^a,b  

^a SORBONNE UNIVERSITÉ   (France)

^b INSERM   (France)

^c INST DE BIOLOGIE PHYSICO CHIMIQUE   (France)

^d UNIVERSITÉ DE LYON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODIES; CHEMICAL DETECTION; COMPUTATIONAL EFFICIENCY; FIGHTER AIRCRAFT; FORECASTING; IMPORTANCE SAMPLING; NUCLEIC ACIDS; SIGNAL TRANSDUCTION;

EVOLUTIONARY INFORMATION; EVOLUTIONARY TRACE METHODS; EVOLUTIONARY TREE; FOLDING PROCESS; HOMOLOGOUS SEQUENCES; LARGE-SCALES; PROTEIN INTERFACES; SCALE METHOD; SITE DIRECTED MUTAGENESIS; TREE METHOD;

ITERATIVE METHODS;

ANTIGEN; ENZYME; ENZYME INHIBITOR; HETERODIMER; HOMODIMER; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; CLUSTER ANALYSIS; COMPLEX FORMATION; CONTROLLED STUDY; MOLECULAR EVOLUTION; PHYSICAL CHEMISTRY; PREDICTION; PROTEIN STRUCTURE; PROTEIN TARGETING; SEQUENCE HOMOLOGY; SIGNAL TRANSDUCTION; ARTIFICIAL NEURAL NETWORK; BINDING SITE; BIOLOGY; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; GENETICS; METABOLISM; METHODOLOGY; NUCLEOTIDE SEQUENCE; PHYLOGENY; PROTEIN ANALYSIS; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEIN DATABASE; SEQUENCE ANALYSIS; STRUCTURE ACTIVITY RELATION;

BINDING SITES; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; CONSERVED SEQUENCE; DATABASES, PROTEIN; EVOLUTION, MOLECULAR; MODELS, CHEMICAL; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); PHYLOGENY; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEIN INTERACTION MAPPING; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SEQUENCE HOMOLOGY, AMINO ACID; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 59149089414     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000267     Document Type: Article

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