# CHEMICAL SCREENING AND OPTIMIZATION FACILITY - "STRUCTURE ACTIVITY RELATIONSHIPS"

> **NIH NIH N01** · SRI INTERNATIONAL · 2020 · $967,340

## Abstract

The Contraception Research Branch (CRB) within the Eunice Kennedy Shriver National Institute of 
Child Health and Human Development (NICHD) supports research to develop compounds that can  disrupt 
 oogenesis,  spermatogenesis,  normal  ovulation,  sperm  maturation  and/or  function affording 
safe and effective contraceptives that can be implemented for men and/or women.  The Chemical  
Screening  and  Optimization  Facility  (CSOF)  is  designed  to  fulfill  a  unique  role  by 
identifying, optimizing, and conducting small scale production of molecular agents that achieve a 
contraceptive  effect.   The  CSOF  provides  overall  project  management  and  the  capabilities  
to support these objectives pursuant to development of new contraceptive methods: these include, 
but are not limited to, the generation of recombinant peptides and proteins, assay development, 
high  throughput  screening  (HTS),  x-ray  crystallography,  computational  chemistry,  medicinal 
chemistry, and pharmacology.  Compounds identified and optimized by the CSOF will be prepared under 
 non-Good  Manufacturing  Practices  (non-GMP)  for  further  preclinical  evaluation.  The
CSOF plays a critical role in the drug development mission of the CRB.

## Key facts

- **NIH application ID:** 10274476
- **Project number:** 275201800007I-0-759402000002-1
- **Recipient organization:** SRI INTERNATIONAL
- **Principal Investigator:** LEYI GONG
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $967,340
- **Award type:** —
- **Project period:** 2020-09-24 → 2022-09-23

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10274476

## Citation

> US National Institutes of Health, RePORTER application 10274476, CHEMICAL SCREENING AND OPTIMIZATION FACILITY - "STRUCTURE ACTIVITY RELATIONSHIPS" (275201800007I-0-759402000002-1). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10274476. Licensed CC0.

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