Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, helping scientists to generate hypotheses, design experiments …

Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

The discovery of novel structural classes of antibiotics is urgently needed to address the
ongoing antibiotic resistance crisis,,,,,,,–. Deep learning approaches have aided in exploring …

Drug-discovery and drug-development endeavors are laborious, costly and time consuming.
These programs can take upward of 12 years and cost US $2.5 billion, with a failure rate of …

Developments in computational omics technologies have provided new means to access
the hidden diversity of natural products, unearthing new potential for drug discovery. In …

The discovery of antibiotics has saved millions of lives, but the emergence of antibiotic‐
resistant bacteria has become another problem in modern medicine. To avoid or reduce the …

The rise of pan-resistant bacteria is creating an urgent need for structurally novel antibiotics.
Artificial intelligence methods can discover new antibiotics, but existing methods have …

Undoubtedly, the advent of antibiotics in the 19th century had a substantial impact,
increasing human life expectancy. However, a multitude of scientific investigations now …

Multidrug-resistant Gram-negative bacterial infections are exponentially increasing, posing
one of the most urgent global healthcare and economic threats. Due to the lack of new …

Deep learning has become a powerful and frequently employed tool for the prediction of
molecular properties, thus creating a need for open-source and versatile software solutions …