Predicting rifampicin resistance inM. tuberculosisusing machine learning informed by protein structural and chemical features
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Infection Inspection: using the power of citizen science for image-based prediction of antibiotic resistance in Escherichia coli treated with ciprofloxacin.
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Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny
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Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine-learning approaches
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Compensatory mutations are associated with increased in vitro growth in resistant clinical samples of Mycobacterium tuberculosis
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Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach
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Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on Escherichia coli.
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Reply: Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing ofM. tuberculosis
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Inclusion of minor alleles improves catalogue-based prediction of fluoroquinolone resistance inMycobacterium tuberculosis
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Compensatory mutations are associated with increasedin vitrogrowth in resistant clinical samples ofMycobacterium tuberculosis
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Brunner V. and Fowler P., (2023)
Predicting antibiotic resistance in complex protein targets using alchemical free energy methods
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Brankin AE. and Fowler PW., (2022), Journal of Computational Chemistry, 43, 1771 - 1782
Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing ofM. tuberculosis
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Genome-wide association studies of global Mycobacterium tuberculosis resistance to 13 antimicrobials in 10,228 genomes identify new resistance mechanisms
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A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics.
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High fluoroquinolone resistance proportions among multidrug-resistant tuberculosis driven by dominant L2 Mycobacterium tuberculosis clones in the Mumbai Metropolitan Region.
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Dreyer V. et al, (2022), Genome medicine, 14
A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates
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ReadItAndKeep: rapid decontamination of SARS-CoV-2 sequencing reads
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Hunt M. et al, (2022), Bioinformatics
An Observational Cohort Study on the Incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection and B.1.1.7 Variant Infection in Healthcare Workers by Antibody and Vaccination Status
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The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis
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Rapid turnaround multiplex sequencing of SARS-CoV-2: comparing tiling amplicon protocol performance
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Deciphering Bedaquiline and Clofazimine Resistance in Tuberculosis: An Evolutionary Medicine Approach
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Differential occupational risks to healthcare workers from SARS-CoV-2: A prospective observational study
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Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe
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Prediction of Pyrazinamide Resistance in <i>Mycobacterium Tuberculosis</i> Using Structure-Based Machine Learning Approaches
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Carter JJ. et al, (2019)
Prediction of pyrazinamide resistance inMycobacterium tuberculosisusing structure-based machine learning approaches
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Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing
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(2018), New England Journal of Medicine, 379, 1403 - 1415
Robust Prediction of Resistance to Trimethoprim in Staphylococcus aureus
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Fowler PW. et al, (2018), Cell Chemical Biology, 25, 339 - 349.e4
Roles of Interleaflet Coupling and Hydrophobic Mismatch in Lipid Membrane Phase-Separation Kinetics
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Fowler PW. et al, (2016), Journal of the American Chemical Society, 138, 11633 - 11642
Accurate Prediction of Ligand Affinities for a Proton-Dependent Oligopeptide Transporter
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Membrane stiffness is modified by integral membrane proteins
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Crystal Structures of the Extracellular Domain from PepT1 and PepT2 Provide Novel Insights into Mammalian Peptide Transport
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Nothing to Sneeze At: A Dynamic and Integrative Computational Model of an Influenza A Virion
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How Membrane Curvature Drives the Up-Concentration of N-Ras Proteins to Ordered Lipid Domains : Correlation of In Vivo and In Vitro Experiments with Mean Field Theory Calculations and Coarse Grain Simulations
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Energetics of Multi-Ion Conduction Pathways in Potassium Ion Channels
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The pore of voltage-gated potassium ion channels is strained when closed
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Fowler PW. and Sansom MSP., (2013), Nature Communications, 4
A Structural Model of a Kir Channel in the Open State Derived from Mutagenic Scanning of the Pore Gating Energetics
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Gating Sensitive Residues In The Pore Of An Inwardly Rectifying Potassium (Kir) Channel
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STIMD: A grid-based method for accelerating the calculation of differences in binding free energies and its application to the binding of peptides to Src SH2 protein domains
Conference paper
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