Computational approaches to screen candidate ligands with anti-Parkinson's activity using R Programming

Current Topics in Medicinal Chemistry

Volumn 12, Issue 16, 2012, Pages 1807-1814

  Jayadeepa, R M ^a   Niveditha, M S ^b  

^a Institute of Computational Biology   (India)

^b BANGALORE UNIVERSITY   (India)

Author keywords

Autodock vina; Dopamine D3 receptor; Gingkolide A and R programming; Parkinson's disease; Rosmarinic acid

Indexed keywords

DOPAMINE 3 RECEPTOR; DOPAMINE RECEPTOR; LIGAND; ROPINIROLE; ROSMARINIC ACID;

AMINO ACID COMPOSITION; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGY; CLUSTER ANALYSIS; COGNITION; COMPARATIVE MOLECULAR FIELD ANALYSIS; COMPUTER PROGRAM; EMOTIONAL DISORDER; ENERGY; ENZYME ACTIVE SITE; HUMAN; LIPOPHILICITY; LITERATURE; MOLECULAR DOCKING; PARKINSON DISEASE; PHYLOGENETIC TREE; PROCESS OPTIMIZATION; SKIN IRRITATION; STRUCTURE ANALYSIS; TOXICITY;

CATALYTIC DOMAIN; CLUSTER ANALYSIS; HUMANS; LIGANDS; MODELS, MOLECULAR; PARKINSON DISEASE;

EID: 84875318901     PISSN: 15680266     EISSN: 18734294     Source Type: Journal    
DOI: 10.2174/156802612803989273     Document Type: Article

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