Conformationally Locked Noncovalent Networks Modulate Methylation in Functional Models of As(III) SAM Methyltransferase

Noncovalent interactions are central to catalysis, promoting ground-state bond activation and transition-state stabilization. Arsenite biomethylation by As<sup>III</sup> S-adenosylmethionine methyltransferase (ArsM) is critical for detoxification, yet its variable efficiency remains mechanistically elusive. Here, we uncover the pivotal role of noncovalent interactions in modulating the methylation efficiency. Guided by MD simulations of SAM- and As-bound ArsM, which reveal stabilizing interactions from conserved Gly91 and Tyr70, we designed thioimidazolium-based methylating agents (<b>1</b>-<b>7</b>) to emulate the enzymatic process and incorporate tailored intramolecular interactions to modulate S-CH<sub>3</sub> bond activation. Notably, bis- (<b>4</b>) and tetra-thioimidazolium (<b>7</b>) derivatives exhibit dramatic enhancements in methylation rate─up to 80-fold─and remarkably high efficiencies compared to agent <b>1</b> (98% for <b>7</b> vs 16% for <b>1</b>), driven by cooperative and synchronized noncovalent interactions within conformationally locked frameworks that are entirely absent in <b>1</b>. In agent <b>7</b>, a closed-loop arrangement of four sulfur centers enables electron delocalization across S-CH<sub>3</sub> units, substantially lowering the methyl transfer activation barrier. Furthermore, the in situ generation of thione byproducts facilitates the reduction of pentavalent arsenic intermediates, completing the biomimetic methylation cycle. These findings establish a direct structure-function correlation between noncovalent interaction networks and methylation efficiency, offering a new strategy for designing efficient synthetic methylating agents.

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Journal
Inorganic Chemistry
Published
2025-11-03
DOI
https://doi.org/10.1021/acs.inorgchem.5c02794
Citations
1
Primary Topic
Metalloenzymes and iron-sulfur proteins
Type
article
Field-Weighted Citation Impact
0.36
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article

Conformationally Locked Noncovalent Networks Modulate Methylation in Functional Models of As(III) SAM Methyltransferase

Rudra Shankar Pati, Amirul Islam, A. Kannan, Maynak Pal et al.
1 citations
Inorganic Chemistry
Metalloenzymes and iron-sulfur proteins
0.36
article

Conformationally Locked Noncovalent Networks Modulate Methylation in Functional Models of As(III) SAM Methyltransferase

Rudra Shankar Pati, Amirul Islam, A. Kannan, Maynak Pal, Gouriprasanna Roy, Ramesh Karri, Rakesh Kumar, Rachana Kamsala
article en
1 citations

Abstract

Noncovalent interactions are central to catalysis, promoting ground-state bond activation and transition-state stabilization. Arsenite biomethylation by As<sup>III</sup> S-adenosylmethionine methyltransferase (ArsM) is critical for detoxification, yet its variable efficiency remains mechanistically elusive. Here, we uncover the pivotal role of noncovalent interactions in modulating the methylation efficiency. Guided by MD simulations of SAM- and As-bound ArsM, which reveal stabilizing interactions from conserved Gly91 and Tyr70, we designed thioimidazolium-based methylating agents (<b>1</b>-<b>7</b>) to emulate the enzymatic process and incorporate tailored intramolecular interactions to modulate S-CH<sub>3</sub> bond activation. Notably, bis- (<b>4</b>) and tetra-thioimidazolium (<b>7</b>) derivatives exhibit dramatic enhancements in methylation rate─up to 80-fold─and remarkably high efficiencies compared to agent <b>1</b> (98% for <b>7</b> vs 16% for <b>1</b>), driven by cooperative and synchronized noncovalent interactions within conformationally locked frameworks that are entirely absent in <b>1</b>. In agent <b>7</b>, a closed-loop arrangement of four sulfur centers enables electron delocalization across S-CH<sub>3</sub> units, substantially lowering the methyl transfer activation barrier. Furthermore, the in situ generation of thione byproducts facilitates the reduction of pentavalent arsenic intermediates, completing the biomimetic methylation cycle. These findings establish a direct structure-function correlation between noncovalent interaction networks and methylation efficiency, offering a new strategy for designing efficient synthetic methylating agents.

Inorganic ChemistryVol. 64(45)
Indian Institute of Technology Tirupati (IN)
Openalex Percentile: Top 37%
Metalloenzymes and iron-sulfur proteins
0.36
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