Nitrile groups as vibrational probes of biomolecular structure and dynamics: an overview

Literature Information

Publication Date 2009-07-31
DOI 10.1039/B908588B
Impact Factor 3.676
Authors

Beth A. Lindquist, Kristina E. Furse, Steven A. Corcelli


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Abstract

This paper presents an overview of recent experiments and theoretical developments aimed at using vibrational spectroscopy to understand the structure and dynamics of nitrile-labeled biomolecules. Nitrile groups are excellent vibrational probes of proteins and DNA because they absorb in a region of the spectrum that is relatively free of absorption due to the biomolecule, and they have high extinction coefficients. The vibrational frequency of nitrile groups is also extraordinarily sensitive to its local environment, and thus CN bonds have been employed in both linear and 2-D infrared (IR) spectroscopy experiments and also as vibrational Stark probes of electric fields in proteins. The interpretation and design of these experiments would be enhanced by accurate calculations of IR spectra from molecular dynamics simulations. Recently, theoretical developments towards computing the vibrational spectrum of nitrile groups in the condensed-phase have been highly successful. A strong synergy between experiment and theory will further promote the use of vibrational spectroscopy of nitrile-labeled biomolecules to address fundamental questions of structure and dynamics that are elusive to other techniques.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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