Molecular criteria for mutagenesis by DNA methylation: Some computational elucidations

Tejeshwori Salam1, S Premila Devi1, R H Duncan Lyngdoh1

  • 1Department of Chemistry, North-Eastern Hill University, Shillong 793022, India.

Mutation Research
|December 9, 2017
PubMed

Insights

Computational chemistry reveals three key criteria for DNA alkylation mutagenicity. O6-methylguanine and O4-methylthymine are predicted to be mutagenic, unlike N7-methylguanine, aligning with experimental data.

Area of Science:

  • Computational chemistry
  • Molecular biology
  • Genetics

Background:

  • Alkylating agents and N-nitroso compounds are known mutagens and carcinogens.
  • DNA alkylation at nucleobase sites is a primary mechanism of action.
  • Established criteria for mutagenicity include proton loss, alkyl group rotation, and base-pairing configuration.

Purpose of the Study:

  • To computationally integrate three molecular criteria for DNA alkylation mutagenicity.
  • To analyze the mutagenic potential of three methylated DNA bases: N7-methylguanine, O6-methylguanine, and O4-methylthymine.

Main Methods:

  • Utilizing computational chemical methods to study methylated DNA bases.
  • Assessing Watson-Crick proton loss feasibility.
  • Evaluating the attainment of mutagenic conformers.
  • Analyzing hydrogen-bonded pairing configurations at biological pH.

Main Results:

  • Watson-Crick proton loss is more feasible for mutagenic O6-methylguanine and O4-methylthymine than for non-mutagenic N7-methylguanine.
  • Mutagenic conformers are more achievable for O6-methylguanine than O4-methylthymine.
  • At biological pH, O6-methylguanine and O4-methylthymine form stable, mutagenic Watson-Crick-like pairs with thymine and guanine, respectively.
  • N7-methylguanine forms a non-mutagenic pair with cytosine.

Conclusions:

  • The three integrated molecular criteria effectively differentiate mutagenic (O6-methylguanine, O4-methylthymine) from non-mutagenic (N7-methylguanine) DNA alkylation products.
  • Findings align with experimental observations regarding mutagenicity trends.
  • The study provides a computational framework for predicting DNA alkylation mutagenicity.

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