“AI Uncovers Hidden Cell Surface Drug Targets Missed by Major Databases | Nova Global News” — what this page in the network covers. More than 65% of approved drugs act on proteins on the surface of human cells, but researchers face a major hurdle: key biological databases often disagree about which proteins are actually present on cell surfaces. This inconsistency can stall drug discovery and lead to missed therapeutic opportuni This inconsistency can stall drug discovery and lead to missed therapeutic opportunities.
A new artificial intelligence system has been developed to systematically flag potential cell surface proteins that major databases have overlooked. By analyzing vast amounts of biological data, the AI identifies proteins likely to be on the cell surface, even when existing resources fail to list them. This approach could help scientists prioritize new drug targets for cancer, autoimmune diseases, and other conditions. For the complete material, the listing points back to the source inside the network.