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

Without the assistance of AI technologies, the process of generating a similar drug profile could easily take a year. Co-development of drug candidates with other pharmaceutical companies is a ...

However, the traditional methods of drug development are often time ... leading to delays in the development process to the tune of months to years in some cases. Often, this is due to the human ...

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

The high risk/reward ratio for drug development is the consequence ... test novel hypotheses much more efficiently than the traditional process allows, enabling faster and more accurate clinical ...

Drug effects in preclinical cancer models often do not predict clinical results, as traditional subcutaneous ... instead of initiating the drug development process by focusing on a promising ...

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 ...

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 ...

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 ...