Recent high-throughput proteomic studies that identify protein complexes and/or binary interactions have not only produced a wealth of information, but have underscored the ubiquitous and fundamental role protein-protein interactions (PPIs) play in cell biology. In part as a consequence of these studies, PPIs are rapidly gaining acceptance as promising drug targets with tremendous therapeutic potential, however very little is known about the structural features that render a PPI """"""""druggable"""""""", or the chemical characteristics that constitute an effective inhibitor of a PPI. With the exception of a small number of success stories, target-based screening strategies have done poorly at identifying PPI inhibitors. This proposal describes a novel approach to developing small-molecule inhibitors of PPIs. Our approach merges molecular bar-code technology with two established methodologies for detecting PPIs in vivo;the yeast two-hybrid (Y2H) system and the protein complementation assay (PCA). Both Y2H and PCA are robust methods that detect distinct types of PPIs, and in this sense are complementary. Their potential utility in screening for, and uncovering inhibitors of PPIs has been proposed previously. By leveraging the molecular bar-code technology, in which the Stanford Genome Technology Center (SGTC) has played a pioneering role in developing, as well as the extensive chemical screening infrastructure currently in place at the SGTC, we propose to screen hundreds of disease-associated human PPIs with ~20,000 diverse chemical compounds. These experiments will generate a massive dataset (representing millions of individual tests) that will be an unparalleled resource for addressing key questions regarding the druggability of PPIs, and the chemical features that define PPI inhibitors. Specific inhibitors identified by these screens could also be valuable biological tools for precisely dissecting the function of the associated proteins in cultured human cell lines. Furthermore, while they will not likely posses the pharmacokinetic or pharmacodynamic properties required of a therapeutic agent, these inhibitors could serve as promising starting points for new drugs.

Public Health Relevance

Protein-protein interactions (PPIs) are a promising class of drug targets with wide-spread therapeutic potential. This proposal describes a unique merging of existing technologies with the goal of identifying novel chemical inhibitors of PPIs. These inhibitors could be valuable tools for studying biology and/or serve as starting points for developing new drugs.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HG005785-02
Application #
8066808
Study Section
Cellular Signaling and Regulatory Systems Study Section (CSRS)
Program Officer
Ozenberger, Bradley
Project Start
2010-04-28
Project End
2013-03-31
Budget Start
2011-04-01
Budget End
2013-03-31
Support Year
2
Fiscal Year
2011
Total Cost
$240,000
Indirect Cost
Name
Stanford University
Department
Biochemistry
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Celaj, Albi; Schlecht, Ulrich; Smith, Justin D et al. (2017) Quantitative analysis of protein interaction network dynamics in yeast. Mol Syst Biol 13:934
Schlecht, Ulrich; Suresh, Sundari; Xu, Weihong et al. (2014) A functional screen for copper homeostasis genes identifies a pharmacologically tractable cellular system. BMC Genomics 15:263
St Onge, Robert; Schlecht, Ulrich; Scharfe, Curt et al. (2012) Forward chemical genetics in yeast for discovery of chemical probes targeting metabolism. Molecules 17:13098-115
Schlecht, Ulrich; Miranda, Molly; Suresh, Sundari et al. (2012) Multiplex assay for condition-dependent changes in protein-protein interactions. Proc Natl Acad Sci U S A 109:9213-8