Magnus W. D. Hanson-Heine
Simulation of Two-Dimensional Infrared Spectroscopy of Peptides Using Localized Normal Modes
Hanson-Heine, Magnus W. D.; Husseini, Fouad S.; Hirst, Jonathan D.; Besley, Nicholas A.
Authors
Fouad S. Husseini
Professor JONATHAN HIRST JONATHAN.HIRST@NOTTINGHAM.AC.UK
Professor of Computational Chemistry
Nicholas A. Besley
Abstract
Non-linear two-dimensional infrared spectroscopy (2DIR) is most commonly simulated within the framework of the exciton method. The key parameters for these calculations include the frequency of the oscillators within their molecular environments and coupling constants that describe the strength of coupling between the oscillators. It is shown that these quantities can be obtained directly from harmonic frequency calculations by exploiting a procedure that localizes the normal modes. This approach is demonstrated using the amide I modes of polypeptides. For linear and cyclic diamides, and the hexapeptide Z-Aib L-Leu-(Aib)2-Gly- Aib-OtBu, the computed parameters are compared with those from existing schemes, and the resulting 2DIR spectra are consistent with experimental observations. The incorporation of conformational averaging of structures from molecular dynamics simulations is discussed, and a hybrid scheme wherein the Hamiltonian matrix from the quantum chemical local-mode ap- proach is combined with fluctuations from empirical schemes is shown to be consistent with experiment. The work demonstrates that localized vibrational modes can provide a foundation for the calculation of 2DIR spectra that does not rely on extensive parameterization and can be applied to a wide range of systems. For systems that are too large for quantum chemical harmonic frequency calculations, the local mode approach provides a convenient platform for the development of site frequency and coupling maps.
Citation
Hanson-Heine, M. W. D., Husseini, F. S., Hirst, J. D., & Besley, N. A. (2016). Simulation of Two-Dimensional Infrared Spectroscopy of Peptides Using Localized Normal Modes. Journal of Chemical Theory and Computation, 12(4), 1905-1918. https://doi.org/10.1021/acs.jctc.5b01198
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 17, 2015 |
Online Publication Date | Mar 7, 2016 |
Publication Date | Apr 12, 2016 |
Deposit Date | Mar 1, 2016 |
Publicly Available Date | Mar 7, 2016 |
Journal | Journal of Chemical Theory and Computation |
Print ISSN | 1549-9618 |
Electronic ISSN | 1549-9626 |
Publisher | American Chemical Society |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 4 |
Pages | 1905-1918 |
DOI | https://doi.org/10.1021/acs.jctc.5b01198 |
Public URL | https://nottingham-repository.worktribe.com/output/775266 |
Publisher URL | http://pubs.acs.org/doi/abs/10.1021/acs.jctc.5b01198 |
Contract Date | Mar 1, 2016 |
Files
acs%2Ejctc%2E5b01198.pdf
(7.1 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
You might also like
An Improved Diabatization Scheme for Computing the Electronic Circular Dichroism of Proteins
(2024)
Journal Article
Artificial intelligence for small molecule anticancer drug discovery
(2024)
Journal Article
Solvent flashcards: a visualisation tool for sustainable chemistry.
(2024)
Journal Article
Machine learning insights into predicting biogas separation in metal-organic frameworks
(2024)
Journal Article
Discovery of novel SOS1 inhibitors using machine learning
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.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