Introduction: Artificial intelligence (AI) has inspired computer-aided drug discovery. The
widespread adoption of machine learning, in particular deep learning, in multiple scientific …

There is an ongoing aim to replace animal and in vitro laboratory models with in silico
methods. Such replacement requires the successful validation and comparably good …

Natural triterpenes isolated from Euphorbia resinifera latex, α-Euphol and α-Euphorbol,
have been subjected to structural modification using oxidative agents such as chromic …

Isoquinoline compounds holding some nucleosidic structural hallmarks are considered
possible attractive options for effectively combating the different severe acute respiratory …

Evaluation and optimization of physicochemical and metabolic properties of compounds are
a crucial component of the drug development process. Continuous access to this information …

A series of trisubstituted cyclohexenones incorporating a styryl framework were synthesized
by Michael addition reaction of ethyl acetoacetate onto dibenzylideneacetone derivatives …

Clinical trial failures caused by pharmacokinetic and bioavailability issues have significantly
diminished in recent years because of the considerable efforts and progress being made …

Spinosyn-based agricultural products, employed as biopesticides, have garnered significant
interest due to their environmentally friendly nature compared to conventional organic …

Optimization of compound metabolic stability is a highly topical issue in pharmaceutical
research. Accordingly, application of predictive in silico models can potentially reduce the …

Medicinal plants belonging to Cameroon flora, could be a source for the discovery of
potential inhibitors of SARS-CoV-2. These two proteins play a pivotal role in mediating viral …