An artificial intelligence neural network was trained on experimental data and used to identify the chemical structures underlying selective antibiotic activity in over 12 million compounds. This led to the discovery of a class of antibiotics with activity in biological tests and in vivo against Gram-positive bacteria, including Staphylococcus aureus.
Introduction
An artificial neural network based on artificial intelligence was developed to analyze experimental data and identify the chemical structures that influence selective antibiotic activity. The network was trained on over 12 million compounds and was used to discover a new class of antibiotics that show strong activity against Gram-positive bacteria, including Staphylococcus aureus.
The New Discovery of a Class of Antibiotics
Using the artificial neural network, a new class of antibiotics was discovered that exhibits strong activity in biological tests and in vivo against Gram-positive bacteria, including Staphylococcus aureus. These findings are very significant in the field of searching for new antibiotics to combat antibiotic resistance.
Potential Applications
These new discoveries allow for the development of new and effective antibiotics against Gram-positive bacteria, including Staphylococcus aureus. These new antibiotics can be used to treat many infectious diseases caused by these bacteria and contribute to combating antibiotic resistance.
Conclusion
Artificial intelligence and experimental data analysis were used to discover a new class of antibiotics with strong activity against Gram-positive bacteria, including Staphylococcus aureus. This discovery represents an important advancement in the search for new and effective antibiotics to combat antibiotic resistance and treat infectious diseases.
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