Artificial intelligence (AI) provides ample opportunities for enabling effective knowledge
sharing among organizations seeking to foster open innovation. Past research often …

The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy and
medicine is promising, with the potential to revolutionize various aspects of health care …

Purchasable chemical space has grown rapidly into the tens of billions of molecules,
providing unprecedented opportunities for ligand discovery but straining the tools that might …

Ethnopharmacology, through the description of the beneficial effects of plants, has provided
an early framework for the therapeutic use of natural compounds. Natural products, either in …

By harnessing artificial intelligence (AI) algorithms and machine learning techniques, the
entire drug discovery process stands to undergo a profound transformation, offering a …

Drug-target affinity prediction is a challenging task in drug discovery. The latest
computational models have limitations in mining edge information in molecule graphs …

Because of the high risk, substantial cost and slow pace of new drug discovery and
development, drug repurposing (also called repositioning, redirecting, reprofiling) is …

Molecular docking is a widely used technique for leveraging protein structure for ligand
discovery, but it remains difficult to utilize due to limitations that have not been adequately …

Autonomous migration is essential for the function of immune cells such as neutrophils and
plays an important role in numerous diseases. The ability to routinely measure or target it …

Whenever a protein fails to fold into its native structure, a profound detrimental effect is likely
to occur, and a disease is often developed. Protein conformational disorders arise when …