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Atomistic mechanisms of human TRPA1 activation by electrophile irritants through molecular dynamics simulation and mutual information analysis

Abstract:
Protein dynamics are central to their function. Enzymes must sample a range of conformations that preferentially bind substrate, order reactive groups for catalysis, and release products. The same fundamental principle applies to proteins which regulate their substrate affinity to maintain cellular conditions and communicate signals. Understanding how a protein’s sequence and structure influence dynamics remains a fundamental challenge in biophysics with major implications for de novo protein design and therapeutic development. This dissertation details a novel computational method that reveals an underlying feature of proteins connecting sequence, structure, and dynamics. After sampling a protein’s conformations at many reduced Hamiltonians (effective temperatures), all of the inter-residue contact probabilities are obtained as a function of energy. Principal component analysis is applied to reveal energy-dependent contact patterns. Correlated and highly energy-sensitive interactions are revealed by large magnitude loading scores on the principal components. This Chemically Accurate Contact Response Analysis (ChACRA) and its application to investigations of enzymatic activity tuning, heat sensing, and allostery in several protein systems is discussed
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-022-08824-7

Authors

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Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-4250-558X
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-5787-9130
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-5100-8836


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Funder identifier:
10.13039/501100000268
Grant:
BB/M011224/1
More from this funder
Funder identifier:
10.13039/501100000766


Publisher:
Nature Research
Journal:
Scientific Reports More from this journal
Volume:
12
Issue:
1
Pages:
4929-4929
Article number:
4929
Publication date:
2022-03-23
DOI:
EISSN:
2045-2322
ISSN:
2045-2322


Language:
English
Keywords:
Pubs id:
1249361
Local pid:
pubs:1249361
Source identifiers:
W4226337866
Deposit date:
2026-04-10
ARK identifier:
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