SBIR/STTR Research Award

SBIR Phase II:Developing a platform for superior predictive analysis of HERG Ion Channel-Drug Interactions for the Comprehensive In-vitro Proarrhythmia Assay (CiPA)

Award identifier ea006a34229f9309741162ee7c0aeb9b043ab0c12fa9c1f01330124902e24ec8Awarding agency National Science Foundation

Award amount

$1,000,000

Program and phase

SBIR · Phase II

Award year

2022

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Cytocybernetics Inc
Proposal award date
2022-03-01
Contract end date
2024-02-29
UEI
G69NH6PMLT75
Solicitation number
NSF 21-565
Topic code
BT

Research abstract

The broader impact /commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to improve drug safety.This project advances software to identify the potential of new drugs to provoke dangerous cardiac side-effects. Because sudden cardiac death is an infrequent and relatively rare phenomenon, predicting it with conventional tools is either impractical or impossible. The proposed technology will make the development of all new classes of drugs safer, faster, and less expensive. This will be integrated into investigational new drug submission packages for submission to the FDA for drug approval. This will improve pharmaceutical safety and clinical outcomes.This Small Business Innovation Research (SBIR) Phase II project will address the critical problem of predicting the arrhythmogenic potential of new drugs seeking FDA approval. Current basic science research methods are based on trying to reproduce exact and infrequently encountered in vivo phenomena in an in vitro setting. The economic and practical constraints on drug development therefore requires industry to use proxies, primarily drug binding to the HERG potassium channel, as a predictor arrhythmogenicity. The intellectual challenge in this project is to combine mathematical modeling and quantitative analysis of rigorous experimental protocols to bridge this gap and identify underlying features which are strong predictors of arrhythmogenic behavior.Key to understanding this is the rapid development and deployment of state-dependent Markov models of drug action based on limited patch clamp data, which is both time-consuming and expensive to obtain. This project combines mathematical analysis directly to direct patch-clamp assay protocols to minimize time and expense while increasing predictive accuracy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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.

Research funding history

9 SBIR/STTR records share this UEI (2015–2025). Reported award amounts total $6,874,751. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

National Science Foundation

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