Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Computational modelling of local fluctuations causing transient solvent exposure of protein amides

View ORCID ProfileSoumendranath Bhakat, View ORCID ProfilePär Söderhjelm
doi: https://doi.org/10.1101/2022.05.19.492675
Soumendranath Bhakat
1Department of Biophysical Chemistry, Lund University, Chemical Center, P.O. Box 124, SE-221 00 Lund, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Soumendranath Bhakat
  • For correspondence: bhakatsoumendranath@gmail.com par.soderhjelm@bpc.lu.se
Pär Söderhjelm
1Department of Biophysical Chemistry, Lund University, Chemical Center, P.O. Box 124, SE-221 00 Lund, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Pär Söderhjelm
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Hydrogen exchange (HX) between protein amides and solvent water molecules can function as a probe for protein dynamics and provide a bridge between the experimental and computational worlds. However, it is important that the underlying assumptions are tested on well-known systems. Here we perform an analysis of a long MD simulation of BPTI, which has previously been used by Persson and Halle to propose a functional definition of the exchange-competent configurations. We find support for the hypothesis that the exchange-competent configurations typically do not constitute a metastable state per se, but rather occur as the outermost tail of the water distribution around a metastable broken state directly identifiable as having a broken intermolecular hydrogen bond and increased solvent-exposure. Furthermore, we estimate the lifetime of these broken states and the probability that exchange-competent configurations occur in them. We have also tested various sampling protocols and their ability to enhance the exploration of the broken states. Computational protocol used in this study can be applied to a broad range of sys-tems to gain valuable insight into the nature of the broken state, although further development is needed to devise a generally applicable quantitative method.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted May 20, 2022.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Computational modelling of local fluctuations causing transient solvent exposure of protein amides
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Computational modelling of local fluctuations causing transient solvent exposure of protein amides
Soumendranath Bhakat, Pär Söderhjelm
bioRxiv 2022.05.19.492675; doi: https://doi.org/10.1101/2022.05.19.492675
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Computational modelling of local fluctuations causing transient solvent exposure of protein amides
Soumendranath Bhakat, Pär Söderhjelm
bioRxiv 2022.05.19.492675; doi: https://doi.org/10.1101/2022.05.19.492675

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4384)
  • Biochemistry (9602)
  • Bioengineering (7100)
  • Bioinformatics (24885)
  • Biophysics (12625)
  • Cancer Biology (9968)
  • Cell Biology (14364)
  • Clinical Trials (138)
  • Developmental Biology (7966)
  • Ecology (12115)
  • Epidemiology (2067)
  • Evolutionary Biology (15997)
  • Genetics (10932)
  • Genomics (14746)
  • Immunology (9875)
  • Microbiology (23683)
  • Molecular Biology (9486)
  • Neuroscience (50907)
  • Paleontology (370)
  • Pathology (1540)
  • Pharmacology and Toxicology (2684)
  • Physiology (4022)
  • Plant Biology (8669)
  • Scientific Communication and Education (1510)
  • Synthetic Biology (2397)
  • Systems Biology (6442)
  • Zoology (1346)