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.

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

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

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 ...

Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...

A Seoul National University research team has developed an ultra-fast analysis technology capable of tracking the protein ...

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 ...

Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia University report they have achieved a milestone in biological computing: ...