Introduction We are in an era of bioinformatics and cheminformatics where we can predict
data in the fields of medicine, the environment, engineering and public health. Approaches …

Objective and methods This study reviewed the concept of in silico prediction of chemical
toxicity for prevention of occupational cancer and future prospects in workers' health. In this …

The advancements in the field of cheminformatics have led to a reduction in animal testing to
estimate the activity, property, and toxicity of query chemicals. Read-across structure–activity …

Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that
can automatically learn from data and can perform tasks such as predictions and decision …

Today, skin care products and cosmetic preparations containing natural ingredients are
widely preferred by consumers. Therefore, many cosmetic brands are encouraged to offer …

We developed a web application structured in a machine learning and molecular fingerprint
algorithm for the automatic calculation of the reaction rate constant of the oxidative …

Background: Modern chemical toxicology is facing a growing need to Reduce, Refine, and
Replace animal tests for hazard identification. The most common type of animal assays for …

Plants' bioactives are well-known safe drugs for vital diseases. Flavones and Flavonoid-rich
dietary supplements are known to exhibit neuroprotective potential. In this study, we isolated …

Epidermal growth factor receptor (EGFR) is a tyrosine kinase receptor that causes different
types of cancers on its overexpression or mutation and rearrangement or amplification of the …

Plasticizers increase the flexibility of plastics. As environmental leachates they lead to
increased water and soil pollution, as well as to serious harm to human health. This study …