Bigger data, collaborative tools and the future of predictive drug discovery

Journal of Computer-Aided Molecular Design

Volumn 28, Issue 10, 2014, Pages 997-1008

  Ekins, Sean ^a,b   Clark, Alex M ^c   Swamidass, S Joshua ^d   Litterman, Nadia ^b   Williams, Antony J ^e  

^a Collaborations in Chemistry ^*  (United States)

^b Collaborative Drug Discovery ^*  (United States)

^c INSTITUTE FOR RESEARCH IN IMMUNOLOGY AND CANCER   (Canada)

^d WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e ROYAL SOCIETY OF CHEMISTRY   (United Kingdom)

Author keywords

Cheminformatics; Cloud; Collaboration; Drug discovery; Mobile apps

Indexed keywords

DATA PRIVACY; DIAGNOSIS; SOFTWARE AS A SERVICE (SAAS);

CHEMINFORMATICS; COLLABORATION; COLLABORATIVE TOOLS; COMMERCIAL TOOLS; DATABASE APPROACHES; DRUG DISCOVERY; MOBILE APP; SECURE TRANSACTIONS; SOFTWARE APPROACH; SOFTWARE-AS-A- SERVICE (SAAS);

BIG DATA;

COMPUTER PROGRAM; COOPERATION; DRUG DEVELOPMENT; FACTUAL DATABASE; HUMAN; PROCEDURES; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RARE DISEASE; STATISTICS;

COOPERATIVE BEHAVIOR; DATABASES, FACTUAL; DRUG DISCOVERY; HUMANS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RARE DISEASES; SOFTWARE; STATISTICS AS TOPIC;

EID: 84924911498     PISSN: 0920654X     EISSN: 15734951     Source Type: Journal    
DOI: 10.1007/s10822-014-9762-y     Document Type: Article

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