An automated approach to network features of protein structure ensembles

Protein Science

Volumn 22, Issue 10, 2013, Pages 1399-1416

  Bhattacharyya, Moitrayee ^a   Bhat, Chanda R ^a   Vishveshwara, Saraswathi ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Beta2 adrenergic receptor; MD NMR ensemble; Network features; Protein structure network; PSN Ensemble program; TRNA synthetases; UbcH5b; Weighted network

Indexed keywords

AMINO ACID DERIVATIVE; BETA 2 ADRENERGIC RECEPTOR; TRANSFER RNA; TYROSINE TRANSFER RNA LIGASE; UBIQUITIN CONJUGATING ENZYME;

ARTICLE; CONFORMATIONAL TRANSITION; CRYSTAL STRUCTURE; MOLECULAR DYNAMICS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE; PRIORITY JOURNAL; PROTEIN CONFORMATION; PROTEIN LOCALIZATION; SIMULATION; STRUCTURE ACTIVITY RELATION; UBIQUITINATION;

BETA2-ADRENERGIC RECEPTOR; MD/NMR ENSEMBLE; NETWORK FEATURES; PROTEIN STRUCTURE NETWORK; PSN-ENSEMBLE PROGRAM; TRNA SYNTHETASES; UBCH5B; WEIGHTED NETWORK;

BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; CRYSTALLOGRAPHY, X-RAY; METHANOCALDOCOCCUS; MODELS, MOLECULAR; MOLECULAR DYNAMICS SIMULATION; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROTEIN CONFORMATION; PROTEINS; RECEPTORS, ADRENERGIC, BETA-2; RNA, TRANSFER; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SOFTWARE; TYROSINE-TRNA LIGASE;

EID: 84892909797     PISSN: 09618368     EISSN: 1469896X     Source Type: Journal    
DOI: 10.1002/pro.2333     Document Type: Article

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