Abstract Background Huanglian Jiedu Decoction (HLJDD) is a classical herbal formula with
potential efficacy in the treatment of sepsis. However, the main components and potential …

Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …

An ever-increasing demand for novel antimicrobials to treat life-threatening infections
caused by the global spread of multidrug-resistant bacterial pathogens stands in stark …

Toxicity prediction is a critical step in the drug discovery process that helps identify and
prioritize compounds with the greatest potential for safe and effective use in humans, while …

Food-derived bioactive peptides (FBPs) are gaining interest due to their great potential in
agricultural byproduct valorization and high-activity peptide screening. The introduction of …

Abstract Traditional Chinese Medicine (TCM) has been extensively used as a mainstay for
treating various pathologies. Combing the pharmacology and systems biology approaches …

NIMA related Kinases (NEK7) plays an important role in spindle assembly and mitotic
division of the cell. Over expression of NEK7 leads to the progression of different cancers …

Recent advances and achievements of artificial intelligence (AI) as well as deep and graph
learning models have established their usefulness in biomedical applications, especially in …

For a new molecular entity (NME) to become a drug, it is not only essential to have the right
biological activity also be safe and efficient, but it is also required to have a favorable …

Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …