SAKARYA UNIVERSITY JOURNAL OF SCIENCE, cilt.27, sa.4, ss.865-871, 2023 (Hakemli Dergi)
The extensive use of herbicidal products in agriculture and forestry has
raised concerns over potential adverse effects on human health and the
environment. Chloroacetanilide herbicides are a group of synthetic
chemicals used to control weeds in agriculture and forestry. However,
so[me of their members have been characterized as possible carcinogens.
The genotoxicity and carcinogenicity of two chloroacetanilide
herbicides, delachlor and xylachlor, are discussed. This article
proposes to use tools to predict their potential toxicities based on
their chemical structure. Four software tools, Vega Hub, Toxtree, Lazar,
and TEST, are used to predict the potential genotoxic and carcinogenic
effects of the herbicides. Vega Hub uses QSAR models, Toxtree uses a
decision tree approach, Lazar uses data mining algorithms, and TEST uses
QSAR methods to estimate toxicity. The canonical Simplified Molecular
Input Line Entry Specification (SMILES) systems of delachlor and
xylachlor are entered into each software tool to create a prediction.
The study found that delachlor and xylachlor is a class 3 highly toxic
compounds with potential mutagenic and carcinogenic effects based on
Toxtree and Vega Hub. Meanwhile, Lazar and TEST predicted that delachlor
and xylachlor are unlikely to be mutagenic. This study to determine the
toxicity of the herbicides delachlor and xylachlor has shown that the
possible effects of these herbicides on health and the environment need
to be further investigated. The results provide valuable insights into
chloroacetanilide herbicide toxicity and help develop safer, more
environmentally friendly alternatives.