Machine learning-powered antibiotics phenotypic drug discovery

S Zoffmann, M Vercruysse, F Benmansour, A Maunz… - Scientific reports, 2019 - nature.com
antibiotics remains a major challenge for drug discovery. The present study explores use of
phenotypicscreening and genomic approach. Deployment of the semi-automated bacterial …

Deep learning in image-based phenotypic drug discovery

D Krentzel, SL Shorte, C Zimmer - Trends in Cell Biology, 2023 - cell.com
… Early drug discovery campaigns are traditionally categorized into target-based drug discovery
(TBDD) and phenotypic drug discovery … that interact with a known drug target. Thus, TBDD …

Accelerating antibiotic discovery through artificial intelligence

MCR Melo, JRMA Maasch… - Communications …, 2021 - nature.com
antibiotics, therapies decline in efficacy and must be replaced, distinguishing antibiotics from
most other forms of drug development… , the phenotypic drug discovery approach focuses not …

Artificial intelligence and antibiotic discovery

L David, AM Brata, C Mogosan, C Pop, Z Czako… - Antibiotics, 2021 - mdpi.com
… a pre-antibiotic era. Nevertheless, new emerging AI-based technologies have started to enter
the field of antibiotic and drug development, … the specific bacterial phenotypic fingerprints in …

Artificial intelligence as a smart approach to develop antimicrobial drug molecules: A paradigm to combat drug-resistant infections

A Talat, AU Khan - Drug Discovery Today, 2023 - Elsevier
… approach, accelerating drug discovery because of its fast pace, … to discover several
beta-lactamase inhibitors and antibiotic … , phenotypic drug discovery (PDD) is a valid alternative for …

A high-throughput phenotypic screen combined with an ultra-large-scale deep learning-based virtual screening reveals novel scaffolds of antibacterial compounds

G Scalia, ST Rutherford, Z Lu, KR Buchholz, N Skelton… - bioRxiv, 2024 - biorxiv.org
… as known antibiotics, natural products, or past drug discovery … 'discovery void' and have
impaired antibiotic research in … million deaths attributed directly to antibiotic resistance annually…

Machine learning in mass spectrometry: a MALDI-TOF MS approach to phenotypic antibacterial screening

LN van Oosten, CD Klein - Journal of medicinal chemistry, 2020 - ACS Publications
… antibacterial drug discovery. (4) Finally, considering the growing need for novel antibiotics to
… resistance, we reasoned that antibacterial drug discovery could be an especially promising …

The application of machine learning techniques to innovative antibacterial discovery and development

MSM Serafim, T Kronenberger, PR Oliveira… - … on Drug Discovery, 2020 - Taylor & Francis
… 21 st century, the pace of antibiotic drug discovery clearly cannot keep up with the continuous
… Additionally, the prediction of antibiotic resistance phenotypes from genomic information …

Phenotypic drug discovery: recent successes, lessons learned and new directions

F Vincent, A Nueda, J Lee, M Schenone… - … Drug Discovery, 2022 - nature.com
… Many drugs, or their antecedents, were discovered through … For the past generation, this
phenotypic drug discovery approach … Nevertheless, modern phenotypic drug discovery, which …

Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium

TA Tran, S Sridhar, ST Reece, O Lunguya… - Nature …, 2024 - nature.com
machine learning classifiers can accurately predict ciprofloxacin susceptibility without
exposure to it or any prior knowledge of resistance phenotype… microbiology and drug discovery, …