Generative AI has enabled the development of new antibiotics that can effectively target drug-resistant gonorrhea and MRSA. A research team at MIT led by Professor James Collins utilized AI algorithms to analyze 36 million chemical compounds. The AI was trained on existing antibiotic structures and their effects on various bacteria to design new drugs. The study established parameters to avoid toxic compounds. The resulting AI-generated antibiotics have proven effective in laboratory and animal tests, representing a notable advancement in the fight against antibiotic resistance and superbugs.
New antibiotics capable of killing drug-resistant gonorrhoea have been developed by AI. Experts believe that Artificial Intelligence could signify a 'second golden age' of antibiotic discovery, after creating two drugs that could be capable of killing superbugs such as gonorrhea and MRSA.
A specialist research team led by Professor James Collins at MIT used generative AI algorithms to interrogate 36 million compounds, training the AI to understand how different molecular structures affect bacteria.
The study, published in the journal Cell, eliminated compounds too similar to existing antibiotics or potentially toxic to humans, ensuring the system developed actual medicines.
The innovative AI-generated drugs were found to be capable of killing superbugs in laboratory and animal tests, marking a significant advancement in combating antibiotic resistance.
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