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.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
5P20GM113117-05
Application #
9935091
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2020-05-01
Budget End
2021-04-30
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Kansas Lawrence
Department
Type
DUNS #
076248616
City
Lawrence
State
KS
Country
United States
Zip Code
66045
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