Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways

By A. Parsons, Renée L. Brost, Huiming Ding, Zhijian Li, Chaoying Zhang, Bilal Sheikh, Grant W. Brown, P. Kane, Timothy R. Hughes, Charles Boone. Nature Biotechnology, 2004

670 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2c00fdecc37c1fdad416257c7c78dec105807fc9

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Citations in the corpus

Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks (2005, neutral): “3-aminotriazole Histidine biosynthesis48 His3 Organic acid metabolism (1, 10–7) FRM2 (8), BIO5 (9), YAT2 (10), ARO10 (18), ARO9 (20), CHA1 (21), BIO3 (31), ARG1 (33), ARG4 (37), HIS5 b (42), LYS1 (47), SAM2 (50)”
A robust toolkit for functional profiling of the yeast genome. (2004, background): “In contrast, haploid mutants derived from omyl resistance in yeast (Parsons et al., 2004 ).”
Systematic Functional Annotation and Visualization of Biological Networks (2016, background): “…that mutations affecting intracellular transport sensitize the cell to a wide range of chemical compounds and make up the most significant functional category among the multi-drug resistance genes in the yeast genome (Parsons et al., 2004; Hillenmeyer et al., 2008; Zakrzewska et al., 2010).”
Navigating the chaperone network: an integrative map of physical and genetic interactions mediated by the hsp90 chaperone. (2005, methodology): “In parallel, we used a novel microarray-based chemical-genetic screening methodology (Parsons et al., 2004) to survey a pool of bar coded yeast single gene deletion strains (Giaever et al.”
Gene expression signature-based chemical genomic prediction identifies a novel class of HSP90 pathway modulators. (2006, positive): “Recent work has applied unbiased gene expression-based approaches to prediction of chemical activity and targets in bacteria and yeast (di Bernardo et al., 2005; Gardner et al., 2003; Parsons et al., 2004 ).”
Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile. (2005, methodology): “Finally, high-density genetic-interaction maps could be used as tools for therapeutic discovery by examining synergistic interactions between gene depletions and drugs or drug pairs (Parsons et al., 2004).”