Energy landscape of conformational changes for a single unmodified protein

Resolving the free energy landscapes that govern protein biophysics has been obscured by ensemble averaging. While the folding dynamics of single proteins have been observed using fluorescent labels and/or tethers, a simpler and more direct measurement of the conformational changes would not require modifications to the protein. We use nanoaperture optical tweezers to resolve the energy landscape of a single unmodified protein, Bovine Serum Albumin (BSA), and quantify changes in the three-state conformation dynamics with temperature. A Markov model with Kramers' theory transition rates is used to model the dynamics, showing good agreement with the observed state transitions. This first look at the intrinsic energy landscape of proteins provides a transformative tool for protein biophysics and may be applied broadly, including mapping out the energy landscape of particularly challenging intrinsically disordered proteins.

Authors

Institutions

Publication Details

Journal
npj Biosensing
Published
2024-11-06
DOI
https://doi.org/10.1038/s44328-024-00014-x
Citations
15
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
3.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy landscape of conformational changes for a single unmodified protein

Cuifeng Ying, Matthew Peters, Síle Nic Chormaic, Viet Giang Truong et al.
15 citations
npj Biosensing
Protein Structure and Dynamics
3.51
article

Energy landscape of conformational changes for a single unmodified protein

Cuifeng Ying, Matthew Peters, Síle Nic Chormaic, Viet Giang Truong, Reuven Gordon, René A. Nome, Tianyu Zhao, Sherin George
article en
15 citations

Abstract

Resolving the free energy landscapes that govern protein biophysics has been obscured by ensemble averaging. While the folding dynamics of single proteins have been observed using fluorescent labels and/or tethers, a simpler and more direct measurement of the conformational changes would not require modifications to the protein. We use nanoaperture optical tweezers to resolve the energy landscape of a single unmodified protein, Bovine Serum Albumin (BSA), and quantify changes in the three-state conformation dynamics with temperature. A Markov model with Kramers' theory transition rates is used to model the dynamics, showing good agreement with the observed state transitions. This first look at the intrinsic energy landscape of proteins provides a transformative tool for protein biophysics and may be applied broadly, including mapping out the energy landscape of particularly challenging intrinsically disordered proteins.

npj BiosensingVol. 1(1)
Okinawa Institute of Science and Technology Graduate University (JP), Universidade Estadual de Campinas (UNICAMP) (BR), University of Victoria (CA), Nottingham Trent University (GB)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Okinawa Institute of Science and Technology Graduate University, Natural Sciences and Engineering Research Council of Canada, Japan Society for the Promotion of Science
Affordable and clean energy
Openalex Percentile: Top 6%
Protein Structure and Dynamics
3.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Energy landscape of conformational changes for a single unmodified protein — Cuifeng Ying, Matthew Peters, et al. · npj Biosensing (2024) | TGRS Research Map | TGRS