This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …

One of the main goals of in silico Caco-2 cell permeability models is to identify those drug
substances with high intestinal absorption in human (HIA). For more than a decade, several …

Six Co (II)-based coordination polymers (CPs) with characteristic frameworks and topologies—
namely,[Co (L1)(DCTP)] n (1),[Co (L2)(DCTP)] n (2),[Co (L3)(DCTP)] n (3),{[Co3 (L4) 3 …

The need to solvate and encapsulate hydro-sensitive molecules drives noticeable trends in
the applications of cyclodextrins in the pharmaceutical industry, in foods, polymers …

Tadpoles, as early developmental stages of frogs, are vital indicators of toxicity and
environmental health in ecosystems exposed to harmful organic compounds from industrial …

The creation of predictive models with a high degree of generalizability in chemical analysis
and process optimization is of paramount importance. Nonetheless, formulating a prediction …

The random forest (RF) algorithm, together with ten Dragon descriptors, was used to
develop a quantitative structure–toxicity/activity relationship (QSTR/QSAR) model for a …

A quantitative structure-toxicity relationship (QSTR) model based on four descriptors was
successfully developed for 1163 chemical toxicants against Tetrahymena pyriformis by …

Abstract A new Quantitative Structure-Activity Relationship model is introduced for reliable
prediction of the toxicity of organic aromatic compounds based on the logarithm of 50 …

The emergence of multidrug-resistant (MDR) strains with perturbed metabolic networks
(MNs) pushes researchers to improve antibacterial drugs (ADs). Certain nanoparticles (NPs) …