Computational approaches to understand α-conotoxin interactions at neuronal nicotinic receptors

European Journal of Biochemistry

Volumn 271, Issue 12, 2004, Pages 2327-2334

  Dutertre, Sébastien ^a   Lewis, Richard J ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

conotoxins; Computational tools; Docking simulation; Homology modeling; Neuronal nicotinic acetylcholine receptor

Indexed keywords

ALPHA CONOTOXIN; NICOTINIC AGENT; NICOTINIC RECEPTOR; NICOTINIC RECEPTOR BLOCKING AGENT; RECEPTOR SUBTYPE; SNAIL VENOM; UNCLASSIFIED DRUG;

AMINO TERMINAL SEQUENCE; BINDING AFFINITY; CRYSTAL STRUCTURE; DRUG RECEPTOR BINDING; EXPERIMENTAL MODEL; LIGAND BINDING; MOLECULAR INTERACTION; MOLECULAR RECOGNITION; NONHUMAN; PRIORITY JOURNAL; PROTEIN DOMAIN; PROTEIN STRUCTURE; RECEPTOR BINDING; RECEPTOR INTRINSIC ACTIVITY; SEQUENCE HOMOLOGY; SHORT SURVEY;

AMINO ACID SEQUENCE; ANIMALS; BINDING SITES; COMPUTATIONAL BIOLOGY; CONOTOXINS; LIGANDS; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; NEURONS; PROTEIN STRUCTURE, QUATERNARY; PROTEIN SUBUNITS; RECEPTORS, NICOTINIC; SEQUENCE ALIGNMENT; SOFTWARE;

GASTROPODA;

EID: 3042557939     PISSN: 00142956     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1432-1033.2004.04147.x     Document Type: Short Survey

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