Closed · RFA-DA-25-053 · CFDA 93.279 · Discretionary

Harnessing Artificial Intelligence and Polypharmacology to Discover Pharmacotherapeutics for Substance Use Disorders (R41/R42 Clinical Trials Not Allowed)

Federal grant opportunity posted by National Institutes of Health, cataloged on Grants.gov.

up to $400K
Award range
Closed
Status
July 25, 2024
Close date
-
Expected awards

The verdict

Harnessing Artificial Intelligence and Polypharmacology to Discover Pharmacotherapeutics for Substance Use Disorders (R41/R42 Clinical Trials Not Allowed) is a closed discretionary listing from National Institutes of Health that offered Up to $400,000. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 12,419 other opportunities from National Institutes of Health.

up to $400K
award range
Closed
application status
93.279
CFDA program
12,419
other opportunities from National Institutes of Health

Archived opportunity record

Harnessing Artificial Intelligence and Polyph… is closed (last close July 25, 2024). The parent program page for CFDA 93.279 is the reliable place to catch re-announcements. National Institutes of Health still indexes 12,419 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed July 25, 2024

Posted Jan 29 Closes Jul 25

Instrument

Grant

Description

The purpose of this funding opportunity is to develop artificial intelligence tools and experimental assays to identify new pharmacotherapeutics with lower toxicity and higher efficacy for substance use disorders (SUD) Areas of interest include but are not limited to: 1) Development of AI tools to identify potential target combinations, design new molecules, conduct virtual preclinical studies to predict efficacy and toxicity, and model in vitro and in vivo polypharmacology 2) Development of assays to assess the effects of compounds on multiple targets or functions

Small-business / for-profit corridor · RFA-DA-25-053

Harnessing Artificial Intelligence and Polyph… prints a for-profit / small-business applicant door (Small businesses). Treat the listing as business-facing unless the full Grants.gov announcement narrows it further. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity codes span Education · Health (ED;HL). 789 other National Institutes of Health listings share this eligibility-code string (6% of 12,420).

Code 23
Small businesses

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Parent Grant Program

CFDA 93.279

Drug Abuse Research Programs

National Institutes of Health

View program →

Agency Contact

NIH Grants Information grantsinfo@nih.gov

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What to do next

Harnessing Artificial Intelligence and Polyph… is closed; use the parent program and agency catalog for the next funding cycle.

  • Parent CFDA 93.279 may publish future NOFOs under the same assistance listing. Open program
  • Drug Abuse Research Programs indexes 170 Grants.gov listings in this extract. Program profile
  • National Institutes of Health lists 12,419 other indexed opportunities on PlainGrants. Agency catalog

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Read our methodology - how this data is sourced, computed, and verified.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants