# Viper Resource Grant at Texas A&M University-Kingsville

> **NIH NIH P40** · TEXAS A&M UNIVERSITY-KINGSVILLE · 2024 · $55,114

## Abstract

The World Health Organization (WHO) has placed snake envenomations as a global health concern
causing 84,000-138,000 deaths yearly. The WHO’s strategy for snake envenoming is to reduce mortality and
morbidity by 50% by 2030. One way to meet this objective includes producing safe and effective treatments for
snakebites. Much of the detailed mechanism of action of snake envenomation is still not well understood.
Developing new targeted therapies to mitigate snakebites remains an area of high medical interest. In the next
grant period, the NNTRC’s Applied Research Program will be focused on exploring the innate resistance of
opossums and woodrats to help develop the next generation of antivenoms by identifying key components that
play a role in this resistance.
 The NNTRC’s Applied Research Program will also continue to provide resources to support the
improvement of the products and services that the NNTRC provides to its user community. The NNTRC will
continue to focus on the application of new methods and approaches to the production of medically significant
recombinant snake venom toxins and the development of novel cell-based assays that can be used for the
testing of antivenoms and toxin inhibitory molecules that can have a transformative impact on the treatment of
snakebites.

## Key facts

- **NIH application ID:** 10714248
- **Project number:** 2P40OD010960-21
- **Recipient organization:** TEXAS A&M UNIVERSITY-KINGSVILLE
- **Principal Investigator:** Elda E. Sanchez
- **Activity code:** P40 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $55,114
- **Award type:** 2
- **Project period:** 2003-04-15 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10714248

## Citation

> US National Institutes of Health, RePORTER application 10714248, Viper Resource Grant at Texas A&M University-Kingsville (2P40OD010960-21). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10714248. Licensed CC0.

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