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Molecular dynamics simulation analysis of structural dynamic cross correlation induced by odorant hydrogen-bonding in mouse eugenol olfactory receptor *
Open accessPreprint — published as 10.2142/biophysico.bppb-v21.0007 · Paper page
Abstract
Structural fluctuations and dynamic cross-correlations in the mouse eugenol olfactory receptor (Olfr73) were studied by molecular dynamics (MD) simulation to characterize the dynamic response of the protein upon ligand binding. The initial structure was generated by the artificial intelligence tool AlfaFold2 due to the current lack of experimental data. We focused on the hydrogen (H) bond of the odorant eugenol to Ser113, Asn207, and Tyr260 of the receptor protein, the importance of which has been suggested by previous experimental studies. The H-bond was not observed in docking simulations, but in subsequent MD simulations the H-bond to Ser113 was formed in 2–4 ns. The lifetime of the H-bond was in the range of 1–20 ns. On the trajectory with the most stable (20 ns) H-bond, the structural fluctuation of the α -carbon atoms of the receptor main chain was studied by calculating the root mean square fluctuations, the dynamic cross-correlation map, and the time-dependent dynamic cross-correlation. The analysis suggested a correlation transfer pathway Ser113 → Phe182 → (Leu259 or Tyr260) → Tyr291 induced by the ligand binding with a time scale of 4–6 ns.
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![Figure 1 A snapshot of the MD simulation showing the positions of the twelve key residues, Cys1063.33, Ser1133.40, Phe182, Phe2035.42, Asn2075.46, Glu2085.47, Leu2125.51, Phe2526.47, Ile2566.51, Leu2596.54, Tyr2606.55, and Tyr2917.53 (the superscripts denote Ballesteros-Weinstein numbers [20,21]), relative to the odorant ligand eugenol (EG).](/paper-figures/caeb632a9aaf4da28aea4c9907a5cc83/molecular-dynamics-simulation-analysis-of-structural-dynamic-cross-correlation-figure-1.jpg)







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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
A structural biology community assessment of AlphaFold2 applications
Akdel, M., Pires, D. E. V., Pardo, E. P., Jänes, J., Zalevsky, A. O., Mészáros, B., Bryant, P., Good, L. L., Laskowski, R. A., Pozzati, G., et al. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00849-w · Cited by 675
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Metadata
- Authors
- Okamoto, C., & Ando, K.
- Affiliations
- Tokyo Woman's Christian University (JP)
- Corresponding author
- Ando, Koji
- ORCID
- Ando, Koji
- Venue
- Biophysics and Physicobiology
- Publisher
- openRxiv
- Published
- 2023-11-05
- Volume
- 21
- Issue
- 1
- Pages
- n/a-n/a
- ISSN
- 2189-4779 (ISSN-L)
- PMC
- PMC11128758
- OpenAlex
- W4390939122
- Cited by
- 19
- References
- 2
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 1
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Biophysics and Physicobiology (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Japan Society for the Promotion of Science (19K22173)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Life Sciences › Neuroscience › Sensory Systems › Olfactory and Sensory Function Studies
- Keywords
- eugenol, odorant binding, hydrogen bonding, structural fluctuations, ligand binding, RMSF
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