Submission Deadline 09/07/2026
Fiscal Capacity $50,135,013
HHS-NIH11 Grant — Key Facts
Opportunity Number PAR-25-153
Agency HHS-NIH11
Application Deadline 09/07/2026
Award Amount $50,135,013
Status Posted
Sector Health
Cost Sharing Not Required

Fiscal Parameters & Taxonomy

Authority HHS-NIH11
Status Posted

Who Can Apply

State governments Native American tribal organizations (other than Federally recognized tribal governments) Others (see text field entitled "Additional Information on Eligibility" for clarification) Native American tribal governments (Federally recognized) Small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education County governments Public housing authorities/Indian housing authorities City or township governments For profit organizations other than small businesses Public and State controlled institutions of higher education Special district governments Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Independent school districts Private institutions of higher education

Eligibility Intelligence

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Program Description

Through this Notice of Funding Opportunity (NOFO), the National Cancer Institute (NCI) solicits applications for identification of small molecules that function to elucidate the biology of disease as chemical probes or function as agonists or antagonists of disease target(s) for therapy or immunotherapy. The NOFO is intended to support discovery research for the identification of validated hits relevant to health-related outcomes of participating NIH Institutes. Stages of discovery research covered by this NOFO include: 1) assay development for specific biological targets and disease mechanisms relevant to the mission of participating NIH Institutes with the intent to screen for small molecule compounds that show potential as probes for use in advancing knowledge about the known targets, identifying new targets, or as pre-therapeutic leads; 2) screen implementation high throughput target-focused approaches or moderate throughput phenotypic- and fragment-based approaches to identify initial screening hits; 3) hit validation, including implementation of secondary assays that are orthogonal to the primary assay, advanced cheminformatics analysis and initial medicinal chemistry inspection to prioritize the hit set, and follow-up assays to characterize mode and mechanism of action of the validated hits; 4) hit-to-lead optimization, including SAR to optimize target engagement, selectivity and to minimize chemical liabilities, ADME, PK and PD studies, and, if appropriate, in vivo modeling to test efficacy or biological effects.

CFDA Programs

93.395 Cancer Treatment Research

Agency Contact

NIH Grants Information grantsinfo@nih.gov

✉ grantsinfo@nih.gov

📞 301-402-2541

Related Intelligence Guides

In-depth editorial guides covering this agency's programs, eligibility requirements, and application strategies.

GrantMetric Intelligence Systems — Independent federal grant intelligence platform. Not affiliated with Grants.gov, the U.S. Department of Health & Human Services, or any government agency. Grant data is sourced from the Grants.gov API for informational purposes only; always verify opportunity details directly with the funding agency before applying. Some links on this site are affiliate links — we may earn a commission at no additional cost to you. Full Disclaimer  ·  Last Reviewed: May 2026  ·  Data Methodology