Deep learning tools to accelerate antibiotic discovery-Reference-Cited by-同舟云学术

Deep learning tools to accelerate antibiotic discovery

Published:2023-10-04 Issue:11 Volume:18 Page:1245-1257
ISSN:1746-0441
Container-title:Expert Opinion on Drug Discovery
language:en
Short-container-title:Expert Opinion on Drug Discovery

Author:

Cesaro Angela¹²³,Bagheri Mojtaba¹²³,Torres Marcelo¹²³,Wan Fangping¹²³,de la Fuente-Nunez Cesar¹²³

Affiliation:

1. Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

2. Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, PhiladelphiaPA, USA

3. Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA

Funder

University of Pennsylvania

Langer Prize by the AIChE Foundation

Procter & Gamble Company, United Therapeutics

BBRF Young Investigator Grant

Nemirovsky Prize, Penn Health-Tech Accelerator Award

Dean’s Innovation Fund from the Perelman School of Medicine at the University of Pennsylvania

National Institute of General Medical Sciences of the National Institutes of Health

Defense Threat Reduction Agency

Publisher

Informa UK Limited

Subject

Drug Discovery

Link

https://www.tandfonline.com/doi/pdf/10.1080/17460441.2023.2250721

Reference119 articles.

1. Advanced delivery systems for peptide antibiotics

2. The value of antimicrobial peptides in the age of resistance

3. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis

4. The true death toll of COVID-19: estimating global excess mortality. 2023 [cited 2023 Jul 30]. Available from: https://www.who.int/data/stories/the-true-death-toll-of-covid-19-estimating-global-excess-mortality.

5. Comprehensive review of the WHO Global Action Plan on Antimicrobial Resistance : Evaluation brief. Sep 2021. Available from: https://www.Who.Int/Publications/m/Item/Comprehensive-Review-of-the-Who-Global-Action-Plan-on-Antimicrobial-Resistance-Evaluation-Brief-September-2021.

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mining human microbiomes reveals an untapped source of peptide antibiotics;Cell;2024-08

2. Machine learning in preclinical drug discovery;Nature Chemical Biology;2024-07-19

3. Discovery of antimicrobial peptides in the global microbiome with machine learning;Cell;2024-07

4. Surfactants produced from carbohydrate derivatives: Part 2. A review on the value chain, synthesis, and the potential role of artificial intelligence within the biorefinery concept;Journal of Surfactants and Detergents;2024-05-21

5. Navigating Antibacterial Frontiers: A Panoramic Exploration of Antibacterial Landscapes, Resistance Mechanisms, and Emerging Therapeutic Strategies;ACS Infectious Diseases;2024-05-01