Indian Scientists Develop AI Tool to Decode Disordered Proteins
Researchers at the National Centre for Biological Sciences, under the Tata Institute of Fundamental Research, Bengaluru, have developed a deep-learning tool that can predict how intrinsically disordered proteins bind to their partners. The breakthrough addresses a long-standing challenge in molecular biology and opens new possibilities in disease research and drug discovery. Why Intrinsically Disordered Proteins Matter Unlike most proteins that fold into stable three-dimensional structures, intrinsically disordered proteins (IDPs) lack a fixed shape. These shapeshifting molecules are central to cellular life. They regulate signalling networks, control gene expression, assist protein folding and quality control, and help form dynamic cellular structures known as condensates. Their flexibility, while biologically advantageous, has made them difficult to analyse using conventional structural biology techniques. The Disobind Deep-Learning Tool The newly developed tool, named Disobind...