Beyond p: Experiments and Simulations of Nitrile Vibrational Probes in Staphylococcal Nuclease Show the Importance of Local Interactions.

Jeremy T First, Elisa T Novelli, Lauren J Webb
Author Information
  1. Jeremy T First: Department of Chemistry, Texas Materials Institute, and Institute for Cell and Molecular Biology The University of Texas at Austin 105 East 24th Street STOP A5300, Austin, Texas 78712-1224, United States. ORCID
  2. Elisa T Novelli: Department of Chemistry, Texas Materials Institute, and Institute for Cell and Molecular Biology The University of Texas at Austin 105 East 24th Street STOP A5300, Austin, Texas 78712-1224, United States. ORCID
  3. Lauren J Webb: Department of Chemistry, Texas Materials Institute, and Institute for Cell and Molecular Biology The University of Texas at Austin 105 East 24th Street STOP A5300, Austin, Texas 78712-1224, United States. ORCID

Abstract

Electric fields are fundamentally important to biological phenomena, but are difficult to measure experimentally or predict computationally. Changes in p of titratable residues have long been used to report on local electrostatic fields in proteins. Alternatively, nitrile vibrational probes are potentially less disruptive and more direct reporters of local electrostatic field, but quantitative interpretation is clouded by the ability of the nitrile to accept a hydrogen bond. To this end, we incorporated nitrile probes into 10 locations of staphylococcal nuclease (SNase) where p shifts had already been determined. We characterized the local environment of each nitrile probe experimentally, through temperature-dependent spectroscopy, and computationally, through molecular dynamics simulations, and show that hydrogen bonding interactions dominate the spectral line shapes. We demonstrate that the information provided by the line shape of the nitrile spectra, compared to scalar values of p shift or nitrile frequency shift, better describes local environments in proteins in a manner that will be useful for future computational efforts to predict electrostatics in complex biological systems.

MeSH Term

Hydrogen Bonding
Micrococcal Nuclease
Molecular Dynamics Simulation
Nitriles
Static Electricity

Chemicals

Nitriles
Micrococcal Nuclease

Word Cloud

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