A deep learning approach to antibiotic discovery was published in Cell in 2020. A new antibiotic that selectively kills Gram-negative pathogens was published in Nature in 2019. Another new antibiotic was published in Nature in 2015 that kills pathogens without detectable resistance. Additionally, a dual-mechanism antibiotic was published in Cell in 2020 that kills Gram-negative bacteria and avoids drug resistance. Other studies include one in Nature in 2020 and another in Nature in 2021 that were focused on evolution-guided discovery and a synthetic antibiotic class overcoming bacterial multidrug resistance. Rational design for a new antibiotic class for drug-resistant infections was also published in Nature in 2021.

There are various other articles published on antibiotic discovery, including one in Nature in 2013, another in Science in 2023, and many others. Researchers are also working on leveraging artificial intelligence in the fight against infectious diseases, as well as accelerating antibiotic discovery through AI.

Other than that, there are various articles about drug discovery, machine learning, and explainable artificial intelligence that have been published in different journals over the years. These articles are contributing to the advancement of antibiotic discovery, given the increasing threat of antibiotic resistance.

Clearly, there is a significant amount of research being conducted in the field of antibiotic discovery and the use of artificial intelligence to address the growing problem of antimicrobial resistance. The various studies cited contribute to efforts aimed at discovering new antibiotics and addressing the challenges posed by drug-resistant infections.

For more information, please refer to the original articles referenced here for the full details behind these important studies.