In the face of climate change, progressive degradation of the environment, including
agricultural land negatively affecting plant growth and development, endangers plant …

The novel quantitative read-across structure–activity relationship (q-RASAR) approach uses
read-across-derived similarity functions in the quantitative structure–activity relationship …

In silico modeling new approach methodologies (NAMs) are viewed as a promising starting
point for filling the existing gaps in safety and ecosafety data. Read-across is one of the most …

Determining which substances on the global market could be classified as persistent, mobile
and toxic (PMT) substances or very persistent, very mobile (vPvM) substances is essential to …

Hazardous aromatic compounds have a high probability of entering the surrounding
environment, posing a threat to humans and other habitats. It is, thus, necessary to estimate …

In this study, the Monte Carlo method was applied for quantitative structure-activity
relationship of novel steroidal spiro-oxindoles as potent antiproliferative inhibitors against …

Chemically induced toxicity is the leading cause of recent extinction of honey bees. In this
regard, we developed an innovative artificial intelligence-based web app (BeeToxAI) for …

The recent years have witnessed an upsurge of interest to assess the toxicity of organic
chemicals exhibiting harmful impacts on the environment. In this investigation, we have …

Synthetic musks (SMs) have been widely used as odor additives in personal care products
(PCPs). Dermal exposure to SMs is the main pathway of the accumulation of these …

Pesticides play an important role in modern agriculture by protecting crops from pests and
diseases. However, the negative consequences of pesticides, such as environmental …