Abstract

A fully quantitative theory connecting protein conformation and optical spectroscopy would facilitate deeper insights into biophysical and simulation studies of protein dynamics and folding. The web server DichroCalc (http://comp.chem.nottingham.ac.uk/dichrocalc) allows one to compute from first principles the electronic circular dichroism spectrum of a (modeled or experimental) protein structure or ensemble of structures. The regular, repeating, chiral nature of secondary structure elements leads to intense bands in the far-ultraviolet (UV). The near-UV bands are much weaker and have been challenging to compute theoretically. We report some advances in the accuracy of calculations in the near-UV, realized through the consideration of the vibrational structure of the electronic transitions of aromatic side chains. The improvements have been assessed over a set of diverse proteins. We illustrate them using bovine pancreatic trypsin inhibitor and present a new, detailed analysis of the interactions which are most important in determining the near-UV circular dichroism spectrum.

Highlights

  • Circular dichroism (CD) in the near-ultraviolet is widely used to study structural changes in proteins, because of its sensitivity [1,2] to, for example, ligand binding, changes of the environment and catalysis [3]

  • Aromatic side chains are often found in enzyme active sites, where they play an important role in molecular recognition and biological function

  • Computing Protein Circular Dichroism Spectroscopy calculations, in the vacuum-UV [8], where bands arise due to charge-transfer transitions, in the far-UV [9], where the backbone nπ* and ππ* transitions appear, and in the near-UV [10,11], where the main contribution is from the aromatic La and Lb ππ* transitions

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Summary

Introduction

Circular dichroism (CD) in the near-ultraviolet (near-UV) is widely used to study structural changes in proteins, because of its sensitivity [1,2] to, for example, ligand binding, changes of the environment and catalysis [3]. Computing Protein Circular Dichroism Spectroscopy calculations, in the vacuum-UV [8], where bands arise due to charge-transfer transitions, in the far-UV [9], where the backbone nπ* and ππ* transitions appear, and in the near-UV [10,11], where the main contribution is from the aromatic La and Lb ππ* transitions.

Results
Conclusion

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