# Core C: Computational Chemical Biology

> **NIH NIH P20** · UNIVERSITY OF KANSAS LAWRENCE · 2020 · $179,893

## Abstract

SUMMARY 
Computational Chemical Biology (CCB) Core will provide comprehensive computational support, including 
chemical virtual screening, physical property prediction, target validation, hits identification, lead 
optimization, pharmacophore identification, and pharmacokinetic and dynamic modeling. In addition, the CCB 
core will provide information management infrastructure supporting the creation and management of scientific 
data analysis workflows, project reporting, and database management for chemicals including their structures 
and biological properties. These activities will be fully integrated with projects and with Cores B and D. For 
example, the analysis of high-throughput screening data and chemical structure-activity relationship data 
generated by Core B will be stored, indexed, computationally analyzed, and visualized at the CCB Core.

## Key facts

- **NIH application ID:** 9935091
- **Project number:** 5P20GM113117-05
- **Recipient organization:** UNIVERSITY OF KANSAS LAWRENCE
- **Principal Investigator:** Jun Huan
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $179,893
- **Award type:** 5
- **Project period:** 2020-05-01 → 2021-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9935091

## Citation

> US National Institutes of Health, RePORTER application 9935091, Core C: Computational Chemical Biology (5P20GM113117-05). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/9935091. Licensed CC0.

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