Applications and limitations of in silico models in drug discovery

Methods in Molecular Biology

Volumn 910, Issue , 2012, Pages 87-124

  Sacan, Ahmet ^a   Ekins, Sean ^b,c,d   Kortagere, Sandhya ^e  

^a DREXEL UNIVERSITY   (United States)

^b Collaborations in Chemistry ^*  (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d RUTGERS ROBERT WOOD JOHNSON MEDICAL SCHOOL   (United States)

^e DREXEL UNIVERSITY COLLEGE OF MEDICINE   (United States)

Author keywords

Chemoinformatics; Drug discovery; Hybrid structure based method; QSAR; Structural bioinformatics; Structure prediction; Troubleshooting computational methods; Virtual screening

Indexed keywords

PROTEIN;

ALGORITHM; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; DRUG DEVELOPMENT; FACTUAL DATABASE; HIGH THROUGHPUT SCREENING; METHODOLOGY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVIEW; X RAY CRYSTALLOGRAPHY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; CRYSTALLOGRAPHY, X-RAY; DATABASES, FACTUAL; DRUG DISCOVERY; HIGH-THROUGHPUT SCREENING ASSAYS; MODELS, MOLECULAR; PROTEINS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84864838507     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-61779-965-5_6     Document Type: Review

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