MOSAIC: a chemical-genetic interaction data repository and web resource for exploring chemical modes of action | Zendy

Justin Nelson | Zendy; Scott W. Simpkins | Zendy; Hamid Safizadeh | Zendy; Sheena C. Li | Zendy; Jeff S. Piotrowski | Zendy; Hiroyuki Hirano | Zendy; Yoko Yashiroda | Zendy; Hiroyuki Osada | Zendy; Minoru Yoshida | Zendy; Charles Boone | Zendy; Chad L. Myers | Zendy

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MOSAIC: a chemical-genetic interaction data repository and web resource for exploring chemical modes of action

Author(s) -

Justin Nelson,

Scott W. Simpkins,

Hamid Safizadeh,

Sheena C. Li,

Jeff S. Piotrowski,

Hiroyuki Hirano,

Yoko Yashiroda,

Hiroyuki Osada,

Minoru Yoshida,

Charles Boone,

Chad L. Myers

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx732

Subject(s) - computer science , interface (matter) , resource (disambiguation) , computational biology , annotation , mosaic , user interface , similarity (geometry) , web site , ontology , action (physics) , biology , the internet , artificial intelligence , world wide web , history , computer network , philosophy , archaeology , bubble , epistemology , maximum bubble pressure method , parallel computing , image (mathematics) , operating system , physics , quantum mechanics

Chemical-genomic approaches that map interactions between small molecules and genetic perturbations offer a promising strategy for functional annotation of uncharacterized bioactive compounds. We recently developed a new high-throughput platform for mapping chemical-genetic (CG) interactions in yeast that can be scaled to screen large compound collections, and we applied this system to generate CG interaction profiles for more than 13 000 compounds. When integrated with the existing global yeast genetic interaction network, CG interaction profiles can enable mode-of-action prediction for previously uncharacterized compounds as well as discover unexpected secondary effects for known drugs. To facilitate future analysis of these valuable data, we developed a public database and web interface named MOSAIC. The website provides a convenient interface for querying compounds, bioprocesses (Gene Ontology terms) and genes for CG information including direct CG interactions, bioprocesses and gene-level target predictions. MOSAIC also provides access to chemical structure information of screened molecules, chemical-genomic profiles and the ability to search for compounds sharing structural and functional similarity. This resource will be of interest to chemical biologists for discovering new small molecule probes with specific modes-of-action as well as computational biologists interested in analysing CG interaction networks.

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