Many drugs, or their antecedents, were discovered through observation of their effects on
normal or disease physiology. For the past generation, this phenotypic drug discovery …

Maternal health during pregnancy plays a major role in shaping health and disease risks in
the offspring. The maternal immune activation hypothesis proposes that inflammatory …

Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays
multidrug resistance. Discovering new antibiotics against A. baumannii has proven …

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 …

Ever present hurdles for the discovery of new drugs for cancer therapy have necessitated
the development of the alternative strategy of drug repurposing, the development of old …

Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to
discover new antibiotics. To address this challenge, we trained a deep neural network …

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and
biotechnology industries for its ability to model biomolecular structures, the functional …

Drug resistance represents a major obstacle in cancer management, and the mechanisms
underlying stress adaptation of cancer cells in response to therapy-induced hostile …

Anticancer uses of non-oncology drugs have occasionally been found, but such discoveries
have been serendipitous. We sought to create a public resource containing the growth …

The COVID-19 pandemic has highlighted the need to quickly and reliably prioritize clinically
approved compounds for their potential effectiveness for severe acute respiratory syndrome …