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Revisiting sulfur H-bonds in proteins: The example of peroxiredoxin AhpE
- Source :
- Scientific Reports
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- In many established methods, identification of hydrogen bonds (H-bonds) is primarily based on pairwise comparison of distances between atoms. These methods often give rise to systematic errors when sulfur is involved. A more accurate method is the non-covalent interaction index, which determines the strength of the H-bonds based on the associated electron density and its gradient. We applied the NCI index on the active site of a single-cysteine peroxiredoxin. We found a different sulfur hydrogen-bonding network to that typically found by established methods and we propose a more accurate equation for determining sulfur H-bonds based on geometrical criteria. This new algorithm will be implemented in the next release of the widely-used CHARMM program (version 41b) and will be particularly useful for analyzing water molecule-mediated H-bonds involving different atom types. Furthermore, based on the identification of the weakest sulfur-water H-bond, the location of hydrogen peroxide for the nucleophilic attack by the cysteine sulfur can be predicted. In general, current methods to determine H-bonds will need to be reevaluated, thereby leading to better understanding of the catalytic mechanisms in which sulfur chemistry is involved.
- Subjects :
- Models, Molecular
0301 basic medicine
chemistry.chemical_element
Molecular Dynamics Simulation
010402 general chemistry
01 natural sciences
Article
Catalysis
03 medical and health sciences
Molecular dynamics
Bacterial Proteins
Nucleophile
Computational chemistry
Catalytic Domain
Atom
Cysteine
Sulfhydryl Compounds
Multidisciplinary
biology
Hydrogen bond
Water
Active site
Hydrogen Bonding
Hydrogen Peroxide
Mycobacterium tuberculosis
Peroxiredoxins
Sulfur
Hydrocarbons
0104 chemical sciences
Oxygen
030104 developmental biology
Biochemistry
chemistry
biology.protein
Peroxiredoxin
Software
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....cfe4910a9ee6b59515db8ae926d8467a
- Full Text :
- https://doi.org/10.1038/srep30369