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Record W2954758414 · doi:10.1039/c9cp02998b

Computational insight into hydrogen persulfide and a new additive model for chemical and biological simulations

2019· article· en· W2954758414 on OpenAlexafffund
Esam A. Orabi, Gilles H. Peslherbe

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsQuantum chemicalHydrogenComputational chemistryChemistryQuantum chemistryChemical physicsMolecular dynamicsMaterials scienceNanotechnologyMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

S-Sulfhydration of cysteine to the Cys-SSH persulfide is an oxidative post-translational modification that plays an important regulatory role in many physiological systems. Though hydrogen persulfide (H2S2) has recently been established as a signaling and cellular sulfhydration reagent, the chemistry and chemical biology of persulfides remain poorly explored. We first report an extensive high-level ab initio quantum chemical investigation of (H2S2)n, (H2S2)m·H2O, and (H2O)m·H2S2 clusters (n = 1-3 and m = 1, 2) and of H2S2 complexes with 19 compounds that model the side chains of naturally-occurring amino acids. The high polarizability of S necessitates the use of large, very diffuse, basis sets for proper description of H2S2 and its complexes. H2S2 possesses a skewed equilibrium geometry, with nonpolar trans and more polar cis conformers 6 and 8 kcal mol-1 higher in energy, respectively; the skewed conformation is preserved in all neutral and cationic complexes while a cis geometry prevails in some anionic complexes. H2S2 is found to be a better H-bond donor and a poorer acceptor than H2S, and that in complexes with H2O, alcohols and amines, H2S2 is a better H-bond donor. Radical delocalization on both S atoms stabilizes the perthiyl (HSS˙) over the thiyl (HS˙) radical and results in a ∼20 kcal mol-1 lower S-H homolytic bond dissociation in H2S2, making it a potential antioxidant. A simple additive model is optimized for H2S2 and used together with the TIP3P model and the CHARMM36 all-atom force field (FF) to investigate the structure and thermodynamic properties of liquid H2S2 and the solubility of H2S2 in water, and to model H2S2-protein interactions (for which new FF parameters are further developed). Very weak H-bonding characterizes liquid H2S2 and it is found immiscible in liquid water with a trend in H-bonding strengths between H2S2 and H2O in the order O-HO ≫ S-HO > O-HS. This work does not only provide a thorough description of the structure and energetics of H2S2 and its various complexes, but also yields a reliable FF for investigating H2S2 in chemistry and biology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.270
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2019
Admission routes2
Has abstractyes

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