# BindingDB: Data and Tools for Drug Discovery, Chemical Biology and Systems Pharmacology

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2020 · $367,203

## Abstract

Abstract
Most medications are small organic molecules which work by binding disease-related proteins. As biomedical
research yields ideas for additional proteins which could be targeted by new drugs, thousands of small
molecules are synthesized and tested, in both industry and academia, for their ability to bind these targeted
proteins. Chemical biologists also develop small molecules targeted to specific proteins in order to elucidate
pathways and cellular mechanisms. The resulting flow of protein-ligand interaction data have many uses well
beyond the specific projects which generated them, such as testing and improve computational drug design
technologies, and generating hypotheses for the mechanisms of action of bioactive compounds. However, they
are published almost exclusively in scientific articles and patents, where they cannot be readily and
systematically searched, browsed, and retrieved. BindingDB, the first open database to collect these protein-
small molecule binding data and make them available for query, download, and analysis, provides users
worldwide with ready access to a growing data collection, currently 1.2 million data for 500K small molecules
and thousands of proteins.
In the forthcoming grant period, we plan to continue the core activity of expanding BindingDB’s data collection
by harvesting relevant data from other on-line resources and continuing in-house curation of data from new
scientific articles and patents. We will also carry out major upgrades of the BindingDB web-site, providing a
less cluttered look and new features, such as ones to refine search results, gain overviews of the large
BindingDB data collection, and customize the content of data downloads requested by users. New capabilities
will also be developed to support applications in the emerging field of systems pharmacology, by annotating
the proteins in biomolecular networks and pathways with small molecule binding data from BindingDB and
constructing tools to qualitatively model the effects of perturbing pathways with small molecule binders. Finally,
we will share information about BindingDB through a variety of channels, and will work with education experts
to develop and disseminate instructional applications of BindingDB.

## Key facts

- **NIH application ID:** 9838756
- **Project number:** 5R01GM070064-16
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** MICHAEL K. GILSON
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $367,203
- **Award type:** 5
- **Project period:** 2004-02-01 → 2021-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9838756

## Citation

> US National Institutes of Health, RePORTER application 9838756, BindingDB: Data and Tools for Drug Discovery, Chemical Biology and Systems Pharmacology (5R01GM070064-16). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9838756. Licensed CC0.

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