Jack Goodman
Modeling peptide nucleic acid binding enthalpies using MM-GBSA
Goodman, Jack; Attwood, David; Kiely, Janice; Coladas Mato, Pablo; Luxton, Richard
Authors
David Attwood David.Attwood@uwe.ac.uk
Associate Professor in Biosensing Systems
Janice Kiely Janice.Kiely@uwe.ac.uk
Professor in Bio-electronics/Res In CoDi
Pablo Coladas Mato
Richard Luxton Richard.Luxton@uwe.ac.uk
Research Centre Director-IBST/Professor
Abstract
The binding enthalpies of peptide nucleic acid (PNA) homoduplexes were predicted using a molecular mechanics generalized Born surface area approach. Using the nucleic acid nearest-neighbor model, these were decomposed into sequence parameters which could replicate the enthalpies from thermal melting experiments with a mean error of 8.7%. These results present the first systematic computational investigation into the relationship between sequence and binding energy for PNA homoduplexes and identified a stabilizing helix initiation enthalpy not observed for nucleic acids with phosphoribose backbones.
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 1, 2022 |
Online Publication Date | Nov 14, 2022 |
Publication Date | Nov 24, 2022 |
Deposit Date | Dec 1, 2022 |
Publicly Available Date | Dec 1, 2022 |
Journal | Journal of Physical Chemistry B |
Print ISSN | 1520-6106 |
Electronic ISSN | 1520-5207 |
Publisher | American Chemical Society |
Peer Reviewed | Peer Reviewed |
Volume | 126 |
Issue | 46 |
Pages | 9528-9538 |
DOI | https://doi.org/10.1021/acs.jpcb.2c05547 |
Keywords | Binding energy, Enthalpy, Entropy, Free energy, Melting |
Public URL | https://uwe-repository.worktribe.com/output/10192167 |
Publisher URL | https://pubs.acs.org/doi/10.1021/acs.jpcb.2c05547 |
Files
Modeling peptide nucleic acid binding enthalpies using MM-GBSA
(3.1 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search