Computational Studies to Improve Understanding and Outcomes of Covalent Labeling Mass Spectrometry Measurements

NSF Award Search · 01002324DB NSF RESEARCH & RELATED ACTIVIT · $390,000 · view on nsf.gov ↗

Abstract

With support from the Chemical Measurement and Imaging Program in the Division of Chemistry, Steffen Lindert and his group at Ohio State University are working to understand and improve mass spectrometry (MS) measurements of covalently labeled proteins. Chemical reactions of accessible sites on a protein with specific labels followed by the use of MS to identify the areas that were labeled helps illuminate protein conformation. Dr. Lindert will perform molecular dynamics simulations to understand how labeling reagents interact with proteins and whether they might induce unwanted conformational changes. Additionally, a web server will be developed to identify the optimal covalent labeling reagents for a given protein sequence. These studies are designed to improve MS covalent labeling measurements, and in this way lead to a better understanding of protein conformation, with potentially broad long term scientific impact in protein conformational/folding studies. If successful, these studies will support work with minimally invasive covalent labeling reagents and support the design of new labeling reagents that do not distort the probed structure. The performance and utility of MS covalent labeling measurements would be greatly improved by a better understanding of how covalent labeling reagents interact with proteins and through a systematic understanding of which labels are most suited for a particular protein under investigation. To address these needs, continued computa

Key facts

NSF award ID
2528854
Awardee
University of California-Los Angeles (CA)
SAM.gov UEI
RN64EPNH8JC6
PI
Steffen Lindert
Primary program
01002324DB NSF RESEARCH & RELATED ACTIVIT
All programs
COMPUTATIONAL SCIENCE & ENGING
Estimated total
$390,000
Funds obligated
$348,398
Transaction type
Standard Grant
Period
07/01/2025 → 07/31/2027