A team of American scientists was able to use artificial intelligence techniques to develop experimental vaccines against gonorrhea. According to available information, a group of researchers led by Sanjay Ram, a professor at the University of Massachusetts Medical School, successfully developed vaccines against gonorrhea. During the vaccine development, they utilized artificial intelligence technologies developed by the Danish startup EVAXION Biotech, which created software capable of analyzing hypothetical interactions between the immune system and pathogens, including the proteins of the bacteria causing the disease.
The scientists used software algorithms to analyze the proteins from the ten most common strains of the bacteria Neisseria gonorrhoeae, which is the causative agent of gonorrhea. The artificial intelligence selected the 26 most active proteins from these types of bacteria, allowing the researchers to develop 11 experimental vaccines based on the testing results. They then tested some prototypes on mice.
The most effective experimental vaccine was based on the proteins NGO1549 and NGO0265. Introducing these proteins into the mice led to the formation of antibodies capable of neutralizing over 50 common types of gonorrhea-causing agents. This vaccine particularly proved effective against the "resistant" strain H041, which cannot be treated with antibiotics, offering hope for further testing to develop effective vaccines against gonorrhea, especially the treatment-resistant strains.
