Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach
Authors
Keywords
Parapsychology, Antibiotics, Transcriptome analysis, Escherichia coli, Gene expression, Algorithms, Artificial intelligence, Metabolomics
Journal
PLoS Computational Biology
Volume 17, Issue 3, Pages e1008857
Publisher
Public Library of Science (PLoS)
Online
2021-03-30
DOI
10.1371/journal.pcbi.1008857
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Mechanism-of-Action Classification of Antibiotics by Global Transcriptome Profiling
- (2020) Aubrie O’Rourke et al. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
- The Science of Antibiotic Discovery
- (2020) Kim Lewis CELL
- Metal‐responsive RNA polymerase extracytoplasmic function ( ECF ) sigma factors
- (2019) Aurelio Moraleda‐Muñoz et al. MOLECULAR MICROBIOLOGY
- Thermal proteome profiling in bacteria: probing protein state in vivo
- (2018) André Mateus et al. Molecular Systems Biology
- High-throughput metabolomic analysis predicts mode of action of uncharacterized antimicrobial compounds
- (2018) Mattia Zampieri et al. Science Translational Medicine
- Feathermoss and epiphytic Nostoc cooperate differently: expanding the spectrum of plant–cyanobacteria symbiosis
- (2017) Denis Warshan et al. ISME Journal
- Reducing the Bottleneck in Discovery of Novel Antibiotics
- (2016) Marcus B. Jones et al. MICROBIAL ECOLOGY
- Structure of the BAM complex and its implications for biogenesis of outer-membrane proteins
- (2016) Long Han et al. NATURE STRUCTURAL & MOLECULAR BIOLOGY
- Structure of the BAM complex and its implications for biogenesis of outer-membrane proteins
- (2016) Long Han et al. NATURE STRUCTURAL & MOLECULAR BIOLOGY
- A new antibiotic kills pathogens without detectable resistance
- (2015) Losee L. Ling et al. NATURE
- Antibiotic resistance—the need for global solutions
- (2013) Ramanan Laxminarayan et al. LANCET INFECTIOUS DISEASES
- Mechanism of action-based classification of antibiotics using high-content bacterial image analysis
- (2013) Kelly C. Peach et al. Molecular BioSystems
- Bacterial cytological profiling rapidly identifies the cellular pathways targeted by antibacterial molecules
- (2013) P. Nonejuie et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Challenges of Antibacterial Discovery
- (2011) L. L. Silver CLINICAL MICROBIOLOGY REVIEWS
- Staphylococcus aureus TargetArray: Comprehensive Differential Essential Gene Expression as a Mechanistic Tool To Profile Antibacterials
- (2010) H. H. Xu et al. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
- Origins and Evolution of Antibiotic Resistance
- (2010) J. Davies et al. MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
- (2009) Yu Su et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- WGCNA: an R package for weighted correlation network analysis
- (2008) Peter Langfelder et al. BMC BIOINFORMATICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search