The discovery and development of drugs in pharmacological research – including the risk assessment of active substances in ...

Discover the potential of macrocycles in drug discovery: flexible, cell-permeable molecules targeting undruggable proteins.

With the use of deep learning and advanced algorithms, generative AI can promote acceleration in the design and development ...

For instance, when some drugs bind to PARP1, they can sometimes trap it on DNA, thereby affecting its function and the therapeutic response in patients." Traditional methods have struggled to link ...

Announcing a new publication for Acta Materia Medica journal. Cardiovascular diseases (CVDs) pose a significant threat to human health due to the high mortality and morbidity rates. Traditional drugs ...

The field of drug discovery faces many time-honored challenges. These include high costs, long development times and high rates of failure. The rise of artificial intelligence (AI) technology has been ...

Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

Unlike traditional drugs, which are mass-produced to treat ... transparent way to track and verify data throughout the development process. By implementing blockchain, QA teams can create an ...