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R35GM141881

Project Grant

Overview

Grant Description
Prediction of the Structures of Protein Complexes - Prediction of the Structures of Protein Complexes

Jeffrey J. Gray, NIGMS R35 (MIRA) Project Summary

Protein interactions are involved in nearly all biological processes in human health and diseases, and protein complex structures can reveal biological mechanisms and suggest intervention strategies. Computational modeling provides an alternative route to elucidate structures. Modeling also tests our understanding of molecular biophysics and allows us to engineer molecules based on their structures.

My lab is a pioneer in developing computational methods to predict and design protein-protein interfaces and in applying those methods broadly, from immunology and cancer to infectious disease and tissue engineering. Our central focus is on protein-protein docking, that is, predicting the structure of a complex from the components (individual polypeptides or domains). A longstanding challenge in docking is correctly capturing protein conformational change, and we lead development of innovative search strategies and rapid scoring schemes to close this gap.

Another focus area is the modeling and design of antibodies, directly supporting drug and diagnostic agent development and optimization. We predict high-resolution antibody structures from sequence, dock those models to antigens, and design antibodies to target specific antigens.

Several protein modifications are important to consider when modeling interfaces. The emergence of powerful experimental methods for characterizing glycans has prompted us to expand our tools to model carbohydrates including docking methods and focused studies on glycotransferases.

All our methods are embedded in the Rosetta software platform, which is used by tens of thousands of academic and industry scientists worldwide. The utility of our work is evidenced by the high demand for our prediction and design web server, scripting platform, and teaching materials.

By leading the technical and scientific testing operations for the Rosetta Commons, my lab powers the synergies to combine Rosetta's powerful biomolecular prediction and design methods across this international collaboration.
Funding Goals
THE NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES (NIGMS) SUPPORTS BASIC RESEARCH THAT INCREASES OUR UNDERSTANDING OF BIOLOGICAL PROCESSES AND LAYS THE FOUNDATION FOR ADVANCES IN DISEASE DIAGNOSIS, TREATMENT, AND PREVENTION. NIGMS ALSO SUPPORTS RESEARCH IN SPECIFIC CLINICAL AREAS THAT AFFECT MULTIPLE ORGAN SYSTEMS: ANESTHESIOLOGY AND PERI-OPERATIVE PAIN, CLINICAL PHARMACOLOGY ?COMMON TO MULTIPLE DRUGS AND TREATMENTS, AND INJURY, CRITICAL ILLNESS, SEPSIS, AND WOUND HEALING.? NIGMS-FUNDED SCIENTISTS INVESTIGATE HOW LIVING SYSTEMS WORK AT A RANGE OF LEVELSFROM MOLECULES AND CELLS TO TISSUES AND ORGANSIN RESEARCH ORGANISMS, HUMANS, AND POPULATIONS. ADDITIONALLY, TO ENSURE THE VITALITY AND CONTINUED PRODUCTIVITY OF THE RESEARCH ENTERPRISE, NIGMS PROVIDES LEADERSHIP IN SUPPORTING THE TRAINING OF THE NEXT GENERATION OF SCIENTISTS, ENHANCING THE DIVERSITY OF THE SCIENTIFIC WORKFORCE, AND DEVELOPING RESEARCH CAPACITY THROUGHOUT THE COUNTRY.
Place of Performance
Baltimore, Maryland 212182608 United States
Geographic Scope
Single Zip Code
Analysis Notes
Amendment Since initial award the total obligations have increased 439% from $720,181 to $3,883,900.
The Johns Hopkins University was awarded Protein Complex Structure Prediction: Advancing Biomedical Research Project Grant R35GM141881 worth $3,883,900 from the National Institute of General Medical Sciences in June 2021 with work to be completed primarily in Baltimore Maryland United States. The grant has a duration of 5 years and was awarded through assistance program 93.859 Biomedical Research and Research Training. The Project Grant was awarded through grant opportunity Maximizing Investigators' Research Award (R35 - Clinical Trial Optional).

Status
(Ongoing)

Last Modified 5/20/25

Period of Performance
6/1/21
Start Date
5/31/26
End Date
92.0% Complete

Funding Split
$3.9M
Federal Obligation
$0.0
Non-Federal Obligation
$3.9M
Total Obligated
100.0% Federal Funding
0.0% Non-Federal Funding

Activity Timeline

Interactive chart of timeline of amendments to R35GM141881

Transaction History

Modifications to R35GM141881

Additional Detail

Award ID FAIN
R35GM141881
SAI Number
R35GM141881-2049209446
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NS00 NIH National Institute of General Medical Sciences
Funding Office
75NS00 NIH National Institute of General Medical Sciences
Awardee UEI
FTMTDMBR29C7
Awardee CAGE
5L406
Performance District
MD-07
Senators
Benjamin Cardin
Chris Van Hollen

Budget Funding

Federal Account Budget Subfunction Object Class Total Percentage
National Institute of General Medical Sciences, National Institutes of Health, Health and Human Services (075-0851) Health research and training Grants, subsidies, and contributions (41.0) $1,582,827 100%
Modified: 5/20/25