JOURNAL ARTICLE

Interactions of insecticides with DNA–RNA bases and environmental conditions.

  • Published In: International Journal of Computational Materials Science & Engineering, 2025, v. 14, n. 3. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Kadioglu, Yelda; Yavaşoğlu, Sare İlknur 3 of 3

Abstract

The toxicological effects of dichlorodiphenyltrichloroethane (DDT) and the stability of methoprene under environmental conditions were investigated in this study by Density Functional Theory. DDT is known to be very persistent in the environment and accumulate in fatty tissues concluding with serious health issues such as birth defects, metabolic disorders, cancers, impaired immune and reproductive systems. Therefore results of the interactions between DDT and DNA–RNA bases were presented at the first part of this study. While there is no deterioration in the structure of DDT or DNA–RNA bases, DDT binds to DNA–RNA bases with high binding energy values which may cause aggregation or trigger DNA methylation. It is important in terms of explaining the interaction of DDT on the basis of DNA–RNA bases for the first time. In the second part, methoprene which is widely used as larvicide in the aquatic mosquito habitats was investigated. Because the chemical stability of the methoprene is an important phenomenon which might present a valuable information in mosquito control efforts, the effects of temperature and atom/molecules which are commonly exist in aquatic nature (Ca, Cl, Mg, Na, CO, CO2, CO3, H2, H2O, H2S, HCO3, N2, NH3, O2, SO4) on methoprene were presented. These atoms/molecules bind to methoprene with low binding energies however, the binding of the molecules to methoprene was disrupted by 313 K (40 ∘ C). [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Computational Materials Science & Engineering. 2025/09, Vol. 14, Issue 3, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:20476841
  • DOI:10.1142/S2047684123500537
  • Accession Number:187281609
  • Copyright Statement:Copyright of International Journal of Computational Materials Science & Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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