The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...

Google DeepMind’s research team recently published in the international academic journal *Nature* the development process of ...

Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.

Deep-learning model decodes the regulatory effects of DNA changes ...

As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...

In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

A domestic research team has developed an ultra-fast analysis technology capable of simultaneously tracking the evolutionary process of proteins ...

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...