# Core B Medicinal Chemistry

> **NIH NIH U19** · HACKENSACK UNIVERSITY MEDICAL CENTER · 2021 · $1,031,010

## Abstract

Abstract
The Medicinal Chemistry (MedChem) Core has been formed to address the urgent need for novel
antibacterial agents. The MedChem Core will work seamlessly with the Project Teams and other Cores to drive
the time- and cost-efficient discovery and development of novel lead compounds to target high-threat bacterial
infections. Critical to its mission are its competencies in industrial and academic medicinal chemistry,
cheminformatics, and structural biology, which are complemented by decades of experiences with the
fundamental biology of the relevant bacterial agents. The MedChem Core will aid in the confirmation of hits
discovered through computation or experimental screens, evolve these to early and then optimized leads
following a defined workflow with quantitative metrics for molecules at each stage in the process. The
MedChem Core will collaborate on projects focused on the discovery and development of A) phloroglucinol
and myxopyronin antibacterials, B) rifamycin and oxazolidinone agents against Mycobacterium abscessus, C)
antituberculars targeting cell wall biosynthesis or respiration, D) antibiotics suggested by mining of biosynthetic
gene clusters, and E) bacterial cell envelope biogenesis inhibitors to prevent Gram-negative multi-drug
resistant infections.

## Key facts

- **NIH application ID:** 10138977
- **Project number:** 5U19AI142731-03
- **Recipient organization:** HACKENSACK UNIVERSITY MEDICAL CENTER
- **Principal Investigator:** Joel Stephen Freundlich
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,031,010
- **Award type:** 5
- **Project period:** 2019-05-01 → 2024-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10138977

## Citation

> US National Institutes of Health, RePORTER application 10138977, Core B Medicinal Chemistry (5U19AI142731-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10138977. Licensed CC0.

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