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Related Experiment Videos

Structure-toxicity relationships of nitroaromatic compounds.

Olexandr Isayev1, Bakhtiyor Rasulev, Leonid Gorb

  • 1Computational Center for Molecular Structure and Interactions, Jackson State University, Jackson, Mississippi, USA.

Molecular Diversity
|May 20, 2006
PubMed
Summary

Quantitative structure-activity relationships (QSARs) were developed for nitroaromatic compound toxicity in rats. Models using topological and quantum-chemical descriptors accurately predict LD50 values, aiding in understanding chemical safety.

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Area of Science:

  • Computational Chemistry
  • Toxicology
  • Medicinal Chemistry

Background:

  • Nitroaromatic compounds are widely used, necessitating toxicity assessments.
  • Quantitative Structure-Activity Relationships (QSARs) are crucial for predicting chemical toxicity.
  • Understanding the relationship between chemical structure and LD50 in rats is vital for risk assessment.

Purpose of the Study:

  • To develop QSAR models for predicting the toxicity (LD50) of nitroaromatic compounds in rats.
  • To identify key molecular descriptors influencing the toxicity of these compounds.
  • To establish reliable predictive models for nitroaromatic compound safety.

Main Methods:

  • Utilized toxicity data (LD50) for 28 nitroaromatic compounds, benzene, and toluene.

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  • Employed genetic algorithms and multiple regression analysis for descriptor selection and model generation.
  • Calculated molecular descriptors using HF/6-31G(d) and DFT (B3LYP/6-311+G(d, p)) levels.

    • Main Results:

    • Developed QSAR models with one to three descriptors, showing good correlation coefficients (r = 0.872-0.924).
    • Identified topological (e.g., Ms, X5Av) and quantum-chemical (e.g., ELUMO) descriptors as significant predictors.
    • Confirmed that nitro group count, electrotopological state, fragments, and electrophilicity influence toxicity.

    Conclusions:

    • QSAR models provide reliable predictions for nitroaromatic compound toxicity in rats.
    • The LD50 parameter for rats was effectively used for the first time in QSAR analysis of nitrobenzenes.
    • Toxicity is influenced by a combination of structural and electronic factors, particularly electrophilic reactivity.