Machine Learning Tool Identifies 800 Million-Year-Old Amino Acid Pattern

An iterative machine learning approach has identified elusive 800 million-year-old amino acid patterns that are responsible for facilitating protein interactions, cell morphogenesis and adhesion and in diseases like cancer. Leucine-aspartic acid (LD) motifs are short amino acid sequences embedded within some proteins to link them to cellular molecules that control cell adhesion, motility and survival. They are known to also play a role in cancer cell spreading and in cardiovascular and infectious diseases. LD motifs were first revealed in 1996 in a family of proteins called paxillin. Only three other LD motif-containing proteins have been discovered since then, and scientists do not know the importance of LD motifs or how many other types of proteins contain them.