Antibiotic discovery with machine learning. Nat Biotechnol 40, 833–834 (2022). https://doi.org/10.1038/s41587-022-01327-w Download citation Published06 May 2022 Issue DateJune 2022 DOIhttps://doi.org/10.1038/s41587-022-01327-w Subjects Computational biology and bioinformatics Drug discovery ...
Cesar de la Fuente-Nunezgrid.25879.310000 0004 1936 8972Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of MedicineUniversity of Pennsylvania Philadelphia PA USA...
“[T]he development of new approaches that can substantially decrease the cost and increase the rate of antibiotic discovery is essential to reinfuse the pipeline with a steady stream of candidates that show promise as next-generation therapeutics,” they wrote in the study. “The adoption...
studied since the beginning of the twentieth century with the discovery of penicillin and in use for over 70 years, represents the majority of antibiotics in use today. The latter, a class
discovery is described in a proof-of-concept study coupling a VAE with experimental validation45. A generative LSTM RNN with transfer learning has demonstrated success in reconstructing molecules known to targetS. aureusafter pretraining on a large generalized dataset and fine-tuning on a smaller set...
Collectively, this study demonstrates machine learning as a promising strategy for the discovery of curcuminoids as antimicrobial agents for combating A. baumannii infections. IMPORTANCE Acinetobacter baumannii presents a severe global health threat, with alarming levels of antimicrobial resistance rates ...
Figure 1. Machine Learning in Antibiotic Discovery Modern approaches to antibiotic discovery often include screening large chemical libraries for those that elicit a phenotype of interest. These screens, which are upper bound by hundreds of thousands to a few million molecules, are expensive, time con...
“After that paper, when we showed that these machine-learning approaches can work well for complex antibiotic discovery tasks, we turned our attention to what I perceive to be public enemy No. 1 for multidrug-resistant bacterial infections, which isAcinetobacter,” Stokes says. ...
antibiotic discovery; antibiotic development; automated antibiotic discovery; antibiotic resistance; computer-aided drug design; artificial intelligence; machine learning; deep learning; future of medicine1. Introduction The average lifespan has extended by 23 years in the last century due to a number of...
This work highlights the utility of machine learning in antibiotic discovery and describes a promising lead with targeted activity against a challenging Gram-negative pathogen. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature ...