SBIR/STTR Research Award

A robust assay for detecting agonist bias in living cells.

Award identifier a44db4e9349e7f177998a1896ebfc1e0b5662933a53533ab08476991e42ffb4cAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,235,017

Program and phase

SBIR · Phase II

Award year

2019

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
MONTANA MOLECULAR LLC
Proposal award date
2019-07-01
Contract end date
2021-06-30
UEI
KN3BF8Y27ES3
Solicitation number
PA18-574
Topic code
300

Research abstract

! Project Summary The objective of this SBIR Phase II project is to optimize and validate a prototype assay for ligand bias to be used in screening drugs that target seven transmembrane G- protein coupled receptors (GPCRs). The assay is based on genetically-encoded fluorescent biosensors that report signaling with a change in fluorescence intensity. Aim 1 of this project involves engineering and testing to increase the change in fluorescence intensity of biosensors for β arrestin1 and β arrestin2. This involves using an established workflow and screening process to iteratively improve linkers in between a very bright green fluorescent protein and β-arrestin. This proprietary process consists of randomly mutagenizing key amino acids to create low diversity libraries of candidate biosensors that are screened for improved fluorescence properties. Aim 2 involves optimizing assay parameters and validating the multiplex assay comprised of the optimized green fluorescent biosensor for β arrestin, co-expressed with existing red fluorescent biosensors for diacylglycerol (DAG) or cyclic AMP. The red sensor indicates G-protein mediated activity while the green sensor indicates arrestin activity. The assay will be validated with a select panel of GPCRs and small molecule and peptide agonists. GPCRs, are one of the largest family of drug targets. Their activity is mediated by both G proteins and β-arrestins which activate a network of distinct signaling pathways. Depending upon the GPCR and cell type, biased agonism can be therapeutically beneficial or produce unwanted or harmful side effects (Violin and Lefkowitz, 2007). Quantifying bias in GPCR signaling could help to identify new therapeutic drugs that avoid adverse effects. Detecting agonist bias early in the screening process, in cell types that are relevant to disease, has the potential to reduce the risk and cost of drug discovery.Project Narrative About 40% of the drugs available today target G-protein coupled receptors and each drug comes with both desired activity and side effects. The opioids, for example, target a specific group of G-protein coupled receptors and provide immediate pain relief, yet they come with unwanted respiratory depression, constipation, and addiction. Screening for drugs that preferentially activate a particular beneficial pathway while avoiding a detrimental one is extremely difficult now because the tools to discriminate between these pathways are inadequate, expensive, and difficult to interpret. Montana Molecular proposes to develop a new assay platform to identify new drugs that activate beneficial pathways and avoid pathways that lead to adverse effects. www.montanamolecular.com

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

14 SBIR/STTR records share this UEI (2007–2025). Reported award amounts total $6,693,315. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.