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Published on: July 16, 2017
Tetrapeptide unfolding dynamics followed by core-level spectroscopy: a first-principles approach
Simone Taioli1, Stefano Simonucci, Silvio A Beccara
1European Centre for Theoretical Studies in Nuclear Physics and Related Areas (ECT*), Bruno Kessler Foundation, and Trento Institute for Fundamental Physics and Applications (INFN-TIFPA), Trento, Italy. taioli@fbk.eu.
Core level analysis reveals distinct sulphur core level shifts (S1s CLS) in polypeptides, differentiating various folding configurations. This computational method offers a new spectroscopic tool for studying molecular dynamics and conformational changes.
Area of Science:
- Computational Chemistry
- Spectroscopy
- Biophysics
Background:
- Understanding polypeptide dynamics and conformational changes is crucial in molecular biology and drug discovery.
- Established spectroscopic techniques can be limited in their ability to fully resolve complex molecular dynamics.
Purpose of the Study:
- To demonstrate the utility of core level analysis, specifically sulphur 1s core level shifts (S1s CLS), for distinguishing polypeptide conformations.
- To investigate the S1s CLS of a model tetrapeptide (cysteine-phenylalanine-tyrosine-cysteine) in various folding states using computational simulations.
Main Methods:
- Employed computer simulations utilizing initial and final state approximations for S1s CLS calculations.
- Applied a range of electronic structure methods, including Hartree-Fock, density functional theory, and configuration interaction.
- Utilized a multiscale algorithm to enhance computational efficiency for electronic structure calculations.
Main Results:
- Distinct peptide arrangements exhibited significantly different S1s CLS (over 0.5 eV) compared to the reference disulfide bridge state.
- The study successfully correlated specific S1s CLS values with different folding configurations of the CYFC tetrapeptide.
Conclusions:
- Core level analysis provides a powerful and sensitive method for disentangling polypeptide dynamics and conformational changes.
- The proposed computational approach yields experimentally detectable signals and offers a potential alternative to existing spectroscopic techniques.
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