# Computational Genomics of Signal Transduction

> **NIH NIH R35** · OHIO STATE UNIVERSITY · 2024 · $444,612

## Abstract

PROJECT SUMMARY
Signal transduction is a universal biological process vital to all organisms. Due to their central role in disease,
signal transduction systems in humans and in bacterial pathogens are the primary targets for drug design. Our
long-term goal is to understand how cells detect, transmit, and adapt to signals. The main focus of our research
is on bacterial signal transduction systems, with the goal of revealing their fundamental properties and
mechanisms at the molecular level. The main unanswered questions that we propose to address are: (1) Which
small molecule ligands are recognized by bacteria; (2) How did signaling networks evolve; and 3) Can we use
the knowledge obtained with bacterial systems to advance our understanding of their counterparts in humans,
especially with respect to disease. We propose to build on our previous findings and capitalize on our tools and
innovative approaches to obtain and capture this knowledge as predictive models. These models will be stored
in public databases, such as InterPro, NCBI Conserved Domain database, and our own Microbial Signal
Transduction (MiST) database. Current MiST capabilities will be further enhanced to better serve the scientific
community.

## Key facts

- **NIH application ID:** 10840185
- **Project number:** 2R35GM131760-06
- **Recipient organization:** OHIO STATE UNIVERSITY
- **Principal Investigator:** Igor B. Jouline
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $444,612
- **Award type:** 2
- **Project period:** 2019-05-01 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10840185

## Citation

> US National Institutes of Health, RePORTER application 10840185, Computational Genomics of Signal Transduction (2R35GM131760-06). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10840185. Licensed CC0.

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