# Resource for Macromolecular Modeling and Visualization

> **NIH NIH R24** · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · 2022 · $1,207,267

## Abstract

SUMMARY
The main mission of the P41 Biomedical Technology Research Resource for Macromolecular Modeling and
Bioinformatics (P41-GM104601) over the last three decades has been developing state of the art computational
technologies for biomolecular and cell simulations and visualization, implementing them in efficient, economical,
user-friendly software solutions, and disseminating them to the biomedical community at no cost. The Resource
has enabled high-quality, rigorous research for the biomedical scientists who need to integrate molecular and
cell modeling, simulation, and visualization in their research, not only at diverse academic institutions, but also
in industry. The flagship software programs, VMD and NAMD and their auxiliary plugins, are used currently
by more than 125,000 users and have received a staggering number of 57,000 citations (19,711 in 2018-2021
alone), reflecting the massive use of the technologies and programs developed by the Resource, and its sub-
stantial economies of scale. The Resource's partnership with the biomedical community resulted in the 2020
ACM Gordon Bell Special Prize for COVID-19 Research. Under the R24 mode of operation, a major goal of
the Resource will be to ensure that its software solutions remain current and available to its large user base on
existing and upcoming hardware platforms commonly used at local and institutional levels, and at national super-
computing centers, where a large fraction of the overall time is consumed by biomedical researchers using the
Resource's programs. Given the key position of these programs, several major supercomputing centers as well
as major hardware vendors have established strong relationships with the Resource, even directly supporting
software development and optimization. In addition, the Resource will ensure the utility of its programs by includ-
ing algorithmic changes/updates that are critical to applicability of the codes and/or demanded by the community.
The Resource will also sustain and expand its comprehensive user training program, empowered by an already
existing, large collection of online tutorials, case studies, and hands-on workshops. Another major activity of the
Resource will be to continue to support its users in the proper and efficient application of the software programs
through customer support services and expanding and upgrading the documentation for the programs. The R24
Resource for Macromolecular Modeling and Visualization will be evaluated on a continuous basis by monitoring
quantitative metrics such as the number of its active users (users of multiple versions of software) and citations,
by conducting regular user surveys requesting input from the user community which will also assist in identifying
most critical features and improvements, and by the technical input from the external advisory board.

## Key facts

- **NIH application ID:** 10431033
- **Project number:** 1R24GM145965-01
- **Recipient organization:** UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
- **Principal Investigator:** Emad Tajkhorshid
- **Activity code:** R24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,207,267
- **Award type:** 1
- **Project period:** 2022-09-28 → 2027-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10431033

## Citation

> US National Institutes of Health, RePORTER application 10431033, Resource for Macromolecular Modeling and Visualization (1R24GM145965-01). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10431033. Licensed CC0.

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