# CHEMICAL SCREENING AND OPTIMIZATION FACILITY - "SCALABLE QUANTITIES OFACTIVE PHARMACEUTICAL INGREDIENTS"

> **NIH NIH N01** · SRI INTERNATIONAL · 2020 · $201,360

## 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, ovulation, sperm maturation and/or function affording safe  and  
effective  contraceptives  for  men  and/or  women.     The  Chemical  Screening  and Optimization 
Facility (CSOF) fulfills 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/or  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:** 10274475
- **Project number:** 275201800007I-0-759402000001-1
- **Recipient organization:** SRI INTERNATIONAL
- **Principal Investigator:** LEYI GONG
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $201,360
- **Award type:** —
- **Project period:** 2020-09-24 → 2021-09-23

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10274475

## Citation

> US National Institutes of Health, RePORTER application 10274475, CHEMICAL SCREENING AND OPTIMIZATION FACILITY - "SCALABLE QUANTITIES OFACTIVE PHARMACEUTICAL INGREDIENTS" (275201800007I-0-759402000001-1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10274475. Licensed CC0.

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