India, Jan. 16 -- Indian researchers have developed an AI tool that predicts interactions of intrinsically disordered proteins.

These are crucial for understanding diseases.

This open-source model outperforms existing tools and can aid disease research, drug design and understanding complex biological systems.

In a breakthrough that could sharpen how scientists understand disease at the molecular level, researchers at the National Centre for Biological Sciences (NCBS), part of the Tata Institute of Fundamental Research, have developed an artificial intelligence tool that predicts how some of the cell's vital proteins interact.

The deep-learning, open-source model, called Disobind, focuses on intrinsically disordered proteins (IDP) or ...