Deep Learning Identifies Novel Compounds Against Antibiotic-Resistant Gonorrhea

AI screens 6 million compounds to uncover two leads against drug-resistant gonorrhea

With tens of millions of annual cases, gonorrhea is the second most frequently reported sexually transmitted infection (STI). In the U.S. alone, more than 600,000 cases are reported each year. If left untreated, gonorrhea can result in severe reproductive health issues, including infertility in both women and men and pelvic inflammatory disease. The infection also increases the risk of HIV transmission, and—if the pathogen spreads from the genitals or throat to other parts of the body—it can damage the heart and cause meningitis and sepsis.

Deep learning identifies novel compounds against antibiotic-resistant gonorrhea

With tens of millions of annual cases, gonorrhea is the second most frequently reported sexually transmitted infection (STI). Alone in the U.S., over 600,000 cases are reported each year.

Harnessing Machine Learning to Combat Antibiotic-Resistant Gonorrhea

Machine Learning Uncovers New Antibiotics to Combat Resistant Gonorrhea The relentless surge of antibiotic-resistant gonorrhea poses an escalating threat to global public health, necessitating innovative solutions in antimicrobial discovery. Gonorrhea, caused by the bacterium Neisseria gonorrhoeae, is one of the most common sexually transmitted infections worldwide, with the United States alone reporting over 600,000 cases […]

AI Discovers Two New Antibiotics for Drug-Resistant Gonorrhea

Scientists have developed a deep learning model that could significantly accelerate the discovery of novel antibiotic compounds. In a study published today in Science Translational Medicine, the AI algorithm was able to identify two compounds effective against gonorrhea infections, each operating through mechanisms unlike those of any antibiotics in use today.  “Faced with the threat of untreatable gonorrhea, new antibiotics are urgently needed,…