Systematic chemical-genetic and chemical-chemical interaction datasets for prediction of compound synergism

Scientific Data

Volumn 3, Issue , 2016, Pages

  Wildenhain, Jan ^a,b   Spitzer, Michaela ^a,b   Dolma, Sonam ^{c,e,f,g,h,i,j}   Jarvik, Nick ^{c,e,f,g,h,i,j}   White, Rachel ^{a,e,f,g,h,i,j}   Roy, Marcia ^{a,e,f,g,h,i,j}   Griffiths, Emma ^{b,e,f,g,h,i,j}   Bellows, David S ^{c,e,f,g,h,i,j}   Wright, Gerard D ^b   Tyers, Mike ^a,d  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b MCMASTER UNIVERSITY   (Canada)

^c MOUNT SINAI HOSPITAL   (Canada)

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

^e HOSPITAL FOR SICK CHILDREN   (Canada)

^f UNIVERSITY OF TORONTO   (Canada)

^g UNIVERSITY OF EDINBURGH   (United Kingdom)

^h UNIVERSITY OF EDINBURGH   (United Kingdom)

ⁱ SIMON FRASER UNIVERSITY   (Canada)

^j VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ANTIFUNGAL AGENT;

BIOLOGY; CHEMISTRY; DRUG DEVELOPMENT; DRUG EFFECTS; DRUG POTENTIATION; FUNGAL GENE; GENETICS; SACCHAROMYCES CEREVISIAE; STRUCTURE ACTIVITY RELATION;

ANTIFUNGAL AGENTS; COMPUTATIONAL BIOLOGY; DRUG DISCOVERY; DRUG SYNERGISM; GENES, FUNGAL; SACCHAROMYCES CEREVISIAE; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84996939091     PISSN: None     EISSN: 20524463     Source Type: Journal    
DOI: 10.1038/sdata.2016.95     Document Type: Article

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