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Journal ArticleDOI

Gas-phase spectroscopy of biomolecular building blocks.

TLDR
Recent results help elucidate structure and hydrogen-bonded interactions, as well as showcase a successful interplay between theory and experiment in gas-phase spectroscopy.
Abstract
Gas-phase spectroscopy lends itself ideally to the study of isolated molecules and provides important data for comparison with theory. In recent years, we have seen enormous progress in the study of biomolecular building blocks in the gas phase. The motivation for such work is threefold: (a) It is important to distinguish between intrinsic molecular properties and properties that result from the biological environment. (b) Gas-phase spectroscopy of clusters provides insights into fundamental interactions and into microsolvation. (c) Gas-phase data support quantum-chemical calculations. This review focuses on the current status of (poly)amino acids and DNA bases. Recent results help elucidate structure and hydrogen-bonded interactions, as well as showcase a successful interplay between theory and experiment.

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Journal ArticleDOI

DNA Excited-State Dynamics: From Single Bases to the Double Helix

TL;DR: Recent discoveries and controversies concerning the nature and dynamics of excited states in DNA model systems in solution are reviewed.
Journal ArticleDOI

RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.

TL;DR: An in-depth, evaluatory coverage of the most fundamental methodological challenges that set the basis for the future development of the field, in particular, the current developments and inherent physical limitations of the atomistic force fields and the recent advances in a broad spectrum of enhanced sampling methods are covered.
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Progress and Challenges in the Calculation of Electronic Excited States

TL;DR: An overview of the ab initio quantum chemical and time-dependent density functional theory methods that can be used to model spectroscopy and photochemistry in molecular systems and three main applications that reflect the authors' experience are addressed.
Journal ArticleDOI

Spectroscopic studies of cold, gas-phase biomolecular ions

TL;DR: In this paper, a review presents a number of techniques employed in our laboratory and in others for measuring the spectroscopy of cold, gas-phase protonated peptides.
Journal ArticleDOI

Machine learning molecular dynamics for the simulation of infrared spectra

TL;DR: In this article, a molecular dipole moment model based on environment dependent neural network charges is proposed for the prediction of infrared spectra based on only a few hundreds of electronic structure reference points.
References
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Journal ArticleDOI

Exact Stochastic Simulation of Coupled Chemical Reactions

TL;DR: In this article, a simulation algorithm for the stochastic formulation of chemical kinetics is proposed, which uses a rigorously derived Monte Carlo procedure to numerically simulate the time evolution of a given chemical system.
Journal ArticleDOI

Brownian motion in a field of force and the diffusion model of chemical reactions

TL;DR: In this article, a particle which is caught in a potential hole and which, through the shuttling action of Brownian motion, can escape over a potential barrier yields a suitable model for elucidating the applicability of the transition state method for calculating the rate of chemical reactions.
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A General Method for Numerically Simulating the Stochastic Time Evolution of Coupled Chemical Reactions

TL;DR: In this paper, an exact method is presented for numerically calculating, within the framework of the stochastic formulation of chemical kinetics, the time evolution of any spatially homogeneous mixture of molecular species which interreact through a specified set of coupled chemical reaction channels.
Journal ArticleDOI

Stochastic Gene Expression in a Single Cell

TL;DR: This work constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated and reveals how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.
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