SBIR/STTR Research Award

Drug target identification using CRISPRi/a screening

Award identifier bae0c5734830aec32c972b0da1bb7467be8b70b130f6894769bc98d5c6b1f5daAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$224,455

Program and phase

STTR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
BIOIO, LLC
Proposal award date
2020-05-01
Contract end date
2021-04-30
UEI
Not reported
Solicitation number
PA19-270
Topic code
400

Research abstract

ABSTRACT As phenotypic screening makes a comeback in drug discovery, its major issue is drug target identification. There aren’t good generalizable approaches to do target identification for compounds of interest. Identifying how a new drug works at the molecular level is critical for improving it, which is often needed to give it the best chance of ultimately being both safe and effective in patients. In this proposal, we demonstrate a genome-wide CRISPRi/a screening process in human cells that readily identifies the molecular target(s) for drugs of interest. We present preliminary evidence it can also identify alternative targets for the disease indication for the drug as well as potential side effect targets. We demonstrate this screening process can be applied to drugs for diverse diseases. Thus, it has the potential to improve the number of drugs that make it through drug development pipelines that currently have high failure rates such as those for Alzheimer’s and diabetes. In the last two decades companies like Foundation Medicine have used genomics to make an increasing impact on disease diagnostics in the Healthcare industry. We propose to similarly use genomics to make an impact on the pharmaceutical industry creating a “drug diagnostics” market in the process.PROJECT NARRATIVE Identifying how a new drug works at the molecular level is critical for refining it, which is often needed to give it the best chance of ultimately being safe and effective in patients. In this proposal we demonstrate a genetic screening process that can identify which genes are most important to how a drug works. Moreover, we propose this screening process is generalizable to drugs for diverse diseases, thus potentially improving the number of drugs that make it through Randamp;D pipelines with high failure rates such as those for Alzheimer’s and diabetes.

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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