Monitoring transient events in infrared spectra using local mode analysis. Issue 10 (29th October 2018)

• Record Type: Journal Article
• Authors: Massarczyk, Matthias; Schlitter, Jürgen; Kötting, Carsten; Rudack, Till; Gerwert, Klaus
• Is Part Of: Proteins. Volume 86:Issue 10(2018)
• Page Start: 1013
• Page End: 1019
• Publication Date: 2018-10-29
• Subjects: computational chemistry -- LMA -- malonaldehyde -- molecular dynamics simulations -- proton transfer -- QM -- QM/MM -- software tool -- theoretical IR spectroscopy -- time‐resolved -- vibrational spectroscopy; Proteins -- Periodicals; Proteins -- Periodicals; 572.6
• DOI: 10.1002/prot.25536
• Languages: English
• ISSNs: 0887-3585

Abstract

Abstract: Time‐resolved Fourier transformed infrared (FTIR) spectroscopy of chemical reactions is highly sensitive to minimal spatiotemporal changes. Structural features are decoded and represented in a comprehensible manner by combining FTIR spectroscopy with biomolecular simulations. Local mode analysis (LMA) is a tool to connect molecular motion based on a quantum mechanics simulation with infrared (IR) spectral features and vice versa. Here, we present the python‐based software tool of LMA and demonstrate the novel feature of LMA to extract transient structural details and identify the related IR spectra at the case example of malonaldehyde (MA). Deuterated MA exists in two almost equally populated tautomeric states separated by a low barrier for proton transfer so IR spectra represent a mixture of both states. By state‐dependent LMA, we obtain pure spectra for each tautomeric state occurring within the quantum mechanics trajectory. By time‐resolved LMA, we obtain a clear view of the transition between states in the spectrum. Through local mode decomposition and the band‐pass filter, marker bands for each state are identified. Thus, LMA is beneficial to analyze the experimental spectra based on a mixture of states by determining the individual contributions to the spectrum and motion of each state.