Researchers at the Wyss Institute for Biologically Inspired Engineering at Harvard University have identified new antibiotic compounds effective against multi-drug resistant Neisseria gonorrhoeae using deep learning, according to a study published Wednesday in Science Translational Medicine. The development comes amid rising concerns over gonorrhea’s resistance to current treatments, with the World Health Organization designating N. gonorrhoeae as a high-priority pathogen. In 2023, Massachusetts reported the first U.S. case of gonorrhea exhibiting reduced response to five classes of antibiotics.
The research team utilized directed message-passing neural networks to screen extensive chemical libraries for molecules with antigonococcal activity. They identified candidates distinct from existing antibiotics. This work builds on previous antibiotic discoveries using deep learning methods at the Wyss Institute and MIT, including compounds effective against MRSA published in Nature in 2023 and a generative AI framework yielding other compounds against MRSA and gonorrhea.
For the first time, the new study validated its lead compounds using the Wyss Institute’s microfluidic Organ Chip technology, specifically a human vagina chip that replicates the vaginal tissue microenvironment, alongside a mouse vaginal infection model. This validation represents a methodological advance in antibiotic preclinical testing by allowing efficacy assessment in a system that more closely mimics human physiology compared to standard cell cultures.
The findings contribute to a trend of AI-driven antibiotic candidates moving through preclinical validation stages. Two antibiotics for gonorrhea, gepotidacin and zoliflodacin, received FDA approval in late 2025, marking the first new drugs for the disease in decades. It remains uncertain if the newly identified compounds will progress to clinical trials. The combination of deep learning with organ-on-chip validation offers a quicker pipeline to identify and test possible treatments for resistant pathogens.
