# Identifying Genetic Contributions to Adverse Drug Reactions

> **NIH NIH R15** · UNIVERSITY OF COLORADO DENVER · 2023 · $467,947

## Abstract

Identifying Genetic Contributions to Adverse Drug Reactions
Project Summary
Bioinformatics tools will be created that facilitate searching the genome for variants that can elucidate previously
unexplained adverse drug reactions (ADRs). Known protein targets for pharmaceuticals represent only a few
percent of the genome and this is a missed opportunity in drug design and in finding genetic explanations for
ADRs. We are seeking to create new bioinformatics tools for identifying the off-target binding sites of
pharmaceuticals and their metabolites. Our goal is to build tools that help identify the underlying genetic causes
of rare and unexplained ADRs so these effects can be avoided. Our initial focus will be on very large existing
data sets on genetic variation and on ADRs that are currently not linked to identify possible new connections
between the datasets. The first specific aim is to create a docking server using the best available protein
structures so that variants of any protein can be used in docking studies and be examined as a source of possible
side effects expanding into the dark genome. The second specific aim is to create online tools that identify
specific ADRs and produce the three-dimensional structures of drugs and drug metabolites prepared for docking
studies and create fast screening tools. Together these tools can be used by researchers to prioritize drug protein
interactions for further in silico or in vitro studies. These tools will facilitate rapid testing of hypotheses about
molecular causes of harmful drug side effects in both available drugs and drugs being designed today, a critical
step toward eliminating ADRs and designing more effective drugs.

## Key facts

- **NIH application ID:** 10730434
- **Project number:** 1R15GM151726-01
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** SCOTT M REED
- **Activity code:** R15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $467,947
- **Award type:** 1
- **Project period:** 2023-09-01 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10730434

## Citation

> US National Institutes of Health, RePORTER application 10730434, Identifying Genetic Contributions to Adverse Drug Reactions (1R15GM151726-01). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10730434. Licensed CC0.

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