A computational tool to predict the evolutionarily conserved protein-protein interaction hot-spot residues from the structure of the unbound protein

FEBS Letters

Volumn 588, Issue 2, 2014, Pages 326-333

  Agrawal, Neeraj J ^a   Helk, Bernhard ^b   Trout, Bernhardt L ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b NOVARTIS PHARMA AG   (Switzerland)

Author keywords

Molecular simulation; Protein engineering; Protein interaction; Spatial interaction map; Structure based tool

Indexed keywords

ALANINE; EPIDERMAL GROWTH FACTOR RECEPTOR; ERYTHROPOIETIN; GROWTH HORMONE; GROWTH HORMONE RECEPTOR; IMMUNOGLOBULIN G1; INTERLEUKIN 12; INTERLEUKIN 13; INTERLEUKIN 13 RECEPTOR ALPHA1; INTERLEUKIN 15;

ACCURACY; ARTICLE; BIOINFORMATICS; GENETIC CONSERVATION; HOT SPOT RESIDUES; HYDROPHOBICITY; MATHEMATICAL ANALYSIS; MOLECULAR DYNAMICS; PREDICTION; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN FUNCTION; PROTEIN PROTEIN INTERACTION; PROTEIN STRUCTURE; SOLVENT ACCESSIBLE AREA; SPATIAL INTERACTION MAP;

MOLECULAR SIMULATION; PROTEIN ENGINEERING; PROTEIN INTERACTION; SPATIAL INTERACTION MAP; STRUCTURE-BASED TOOL;

COMPUTATIONAL BIOLOGY; CONSERVED SEQUENCE; EVOLUTION, MOLECULAR; INTERLEUKIN-13; MODELS, MOLECULAR; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEIN INTERACTION MAPPING; PROTEINS;

EID: 84892364468     PISSN: 00145793     EISSN: 18733468     Source Type: Journal    
DOI: 10.1016/j.febslet.2013.11.004     Document Type: Article

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