Persistent Identifier
|
doi:10.11588/data/AA3UAQ |
Publication Date
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2022-11-08 |
Title
| Bond dissociation energies of X−H bonds in proteins [data] |
Author
| Riedmiller, Kai (Heidelberg Institute for Theoretical Studies, Heidelberg, Germany) - ORCID: 0000-0003-1738-754X
Treyde, Wojtek (Heidelberg Institute for Theoretical Studies, Heidelberg, Germany; Max Planck School Matter-to-Life (MtL), Heidelberg, Germany) - ORCID: 0000-0003-1735-0640
Gräter, Frauke (Heidelberg Institute for Theoretical Studies, Heidelberg, Germany; Max Planck School Matter-to-Life (MtL), Heidelberg, Germany; Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany) - ORCID: 0000-0003-2891-3381 |
Point of Contact
|
Use email button above to contact.
Gräter, Frauke (Heidelberg Institute for Theoretical Studies, Heidelberg, Germany; Max Planck School Matter-to-Life (MtL), Heidelberg, Germany; Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany)
Riedmiller, Kai (Heidelberg Institute for Theoretical Studies, Heidelberg, Germany) |
Description
| Knowledge of reliable X−H bond dissociation energies (X = C, N, O, S) for amino acids in proteins is key for studying the radical chemistry of proteins. X−H bond dissociation energies of model dipeptides were computed using the isodesmic reaction method at the BMK/6-31+G(2df,p) and G4(MP2)-6X levels of theory. The density functional theory values agree well with the composite- level calculations. By this high level of theory, combined with a careful choice of reference compounds and peptide model systems, our work provides a highly valuable data set of bond dissociation energies with unprecedented accuracy and comprehensiveness. It will likely prove useful to predict protein biochemistry involving radicals, e.g., by machine learning. |
Subject
| Chemistry |
Keyword
| Bond dissociation energies |
Related Publication
| Treyde, W., Riedmiller, K., & Gräter, F. (2022). Bond dissociation energies of X–H bonds in proteins. RSC advances, 12(53), 34557-34564. doi: 10.1039/D2RA04002F https://doi.org/10.1039/D2RA04002F |
Language
| English |
Funding Information
| European Research Council (ERC): 101002812
Klaus Tschira Foundation
Max Planck School Matter to Life |
Date of Collection
| Start Date: 2021-10-01 ; End Date: 2022-03-31 |
Software
| Gaussian, Version: 09d1 |