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Gas-Phase IR Spectroscopy and Structure of Biological Molecules

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Attention for Chapter 620: Theoretical Methods for Vibrational Spectroscopy and Collision Induced Dissociation in the Gas Phase
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Chapter title
Theoretical Methods for Vibrational Spectroscopy and Collision Induced Dissociation in the Gas Phase
Chapter number 620
Book title
Gas-Phase IR Spectroscopy and Structure of Biological Molecules
Published in
Topics in current chemistry, January 2014
DOI 10.1007/128_2014_620
Pubmed ID
Book ISBNs
978-3-31-919203-1, 978-3-31-919204-8
Authors

Marie-Pierre Gaigeot, Riccardo Spezia, Gaigeot, Marie-Pierre, Spezia, Riccardo

Abstract

In this chapter we review recent advances in theoretical methods to understand and rationalize anharmonic vibrational spectroscopy (IR-MPD and IR-PD) and collision induced dissociations (CID) in the gas phase. We focused our attention on the application of molecular dynamics-based methods. DFT-based molecular dynamics was shown to be able to reproduce InfraRed Multi-Photon Dissociation (IR-MPD) and InfraRed Pre-Dissociation (IR-PD) action spectroscopy experiments, and help assign the vibrational bands, taking into account finite temperature, conformational dynamics, and various anharmonicities. Crucial examples of dynamical vibrational spectroscopy are given on the protonated Ala n H(+) series (related to IR-MPD in the 800-4,000 cm(-1) domain), ionic clusters (related to IR-PD in the 3,000-4,000 cm(-1) region), and neutral peptides (related to IR-MPD in the far-IR). We give examples from simple (e.g., cationized urea) to more complex (e.g., peptides and carbohydrates) molecular systems where molecular dynamics was particularly suited to understanding CID experiments.

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Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Student > Bachelor 3 11%
Student > Doctoral Student 2 7%
Researcher 2 7%
Student > Master 2 7%
Other 5 19%
Unknown 5 19%
Readers by discipline Count As %
Chemistry 10 37%
Physics and Astronomy 4 15%
Arts and Humanities 2 7%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Other 2 7%
Unknown 7 26%