Author

P. W. Fowler

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 10

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 6 Assay:whole-genome sequencing· 6 Research Focus:drug response / drug discovery· 5 Approach:statistical model· 5 Research Focus:variant effect prediction· 4 Research Focus:benchmarking· 3 Approach:experimental assay· 3 Research Focus:variant calling· 3

Frequent Co-Authors

T. E. Peto· 6 shared D. W. Crook· 5 shared A. S. Walker· 4 shared T. M. Walker· 4 shared A. L. Gibertoni Cruz· 3 shared D. M. Cirillo· 3 shared T. J. Davies· 3 shared The CRyPTIC Consortium· 3 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

6 shared papersMicrobiology

T. E. Peto

Mutual co-authors in cluster

Author profile →

10 papers

Recent·Most cited

Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine learning approaches.

J. Carter, T. M. Walker, A. S. Walker, M. Whitfield, G. P. Morlock, C. I. Lynch, D. Adlard, T. E. Peto, J. E. Posey, D. W. Crook, P. W. Fowler

This paper predicts pyrazinamide resistance in Mycobacterium tuberculosis using machine learning models trained on pncA mutations and structural features, achieving 80.2% sensitivity and 76.9% specificity.

bioRxiv · Nov 14, 2023 · PreprintMicrobiology

Compensatory mutations are associated with increased in vitro growth in resistant clinical samples of Mycobacterium tuberculosis.

V. Brunner, P. W. Fowler

The paper identifies compensatory mutations in Mycobacterium tuberculosis associated with increased in vitro growth in resistant strains, highlighting their role in resistance spread.

bioRxiv · Jun 21, 2023 · PreprintMicrobiology

Inclusion of minor alleles improves catalogue-based prediction of fluoroquinolone resistance in Mycobacterium tuberculosis

A. E. Brankin, P. W. Fowler

The paper shows that detecting minor alleles improves the sensitivity of whole genome sequencing for predicting moxifloxacin resistance in Mycobacterium tuberculosis without reducing specificity.

bioRxiv · Nov 9, 2022 · PreprintMicrobiology

Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on Escherichia coli

T. J. Davies, J. Swann, A. E. Sheppard, H. Pickford, S. Lipworth, M. AbuOun, M. Ellington, P. W. Fowler, S. Hopkins, K. Hopkins, D. Crook, T. E. Peto, M. F. Anjum, A. S. Walker, N. Stoesser

This study evaluates four AMR gene typing methods using simulated and real E. coli data, revealing significant discrepancies and highlighting issues with current bioinformatic approaches.

bioRxiv · Nov 3, 2021 · PreprintMicrobiology

BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates.

P. W. Fowler, C. Wright, H. Spiers, T. Zhu, E. M. Baeten, S. W. Hoosdally, A. L. Gibertoni Cruz, A. Roohi, S. Kouchaki, T. M. Walker, T. E. Peto, G. Miller, C. Lintott, D. Clifton, D. W. Crook, , The CRyPTIC Consortium

BashTheBug uses crowdsourced volunteers to accurately measure MICs of 13 antitubercular drugs from microdilution plates, showing median/mode of classifications is sufficient.

bioRxiv · Jul 20, 2021Microbiology

Deciphering Bedaquiline and Clofazimine Resistance in Tuberculosis: An Evolutionary Medicine Approach

L. Sonnenkalb, J. Carter, A. Spitaleri, Z. Iqbal, M. Hunt, K. Malone, C. Utpatel, D. M. Cirillo, C. Rodrigues, K. S. Nilgiriwala, the CRyPTIC Consortium, P. W. Fowler, M. Merker, S. Niemann

This study identifies 230 genomic variants associated with resistance to bedaquiline and clofazimine in tuberculosis using experimental evolution, genome sequencing, and structural modeling.

bioRxiv · Mar 19, 2021Microbiology

Reconciling the potentially irreconcilable? Genotypic and phenotypic amoxicillin-clavulanate resistance in Escherichia coli

T. J. Davies, N. Stoesser, A. E. Sheppard, M. Abuoun, P. W. Fowler, J. Swann, P. Quan, D. Griffiths, A. Vaughan, M. Morgan, H. T. T. Phan, K. J. Jeffery, M. Andersson, M. Ellington, O. Ekelund, , A. S. Walker

This study shows that amoxicillin-clavulanate resistance in E. coli is quantitative, not binary, and that WGS-based predictions outperform traditional phenotyping methods.

bioRxiv · Feb 6, 2020Microbiology

How quickly can we predict trimethoprim resistance using alchemical free energy methods?

P. W. Fowler

This study demonstrates that alchemical free energy methods can rapidly and accurately predict trimethoprim resistance in S. aureus by analyzing mutations in the dfrB gene using short molecular dynamics simulations.

bioRxiv · Jan 13, 2020Microbiology

Validating a 14-drug microtitre plate containing bedaquiline and delamanid for large-scale research susceptibility testing of Mycobacterium tuberculosis

P. M. Rancoita, F. Cugnata, A. L. Gibertoni Cruz, E. Borroni, S. J. Hoosdally, T. M. Walker, C. Grazian, T. J. Davies, T. E. Peto, D. W. Crook, P. W. Fowler, D. M. Cirillo, the CRyPTIC Consortium

The paper validates a 14-drug microtitre plate for measuring MICs of anti-TB compounds in M. tuberculosis isolates, finding optimal reading with the Vizion system after 14 days incubation.

bioRxiv · Jun 15, 2018Microbiology

Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis

P. W. Fowler, A. L. Gibertoni Cruz, S. J. Hoosdally, L. Jarrett, E. Borroni, M. Chiacchiaretta, P. Rathod, T. M. Walker, E. Robinson, T. E. Peto, D. M. Cirillo, E. G. Smith, D. W. Crook

This paper introduces AMyGDA, a software tool for automated detection of M. tuberculosis growth on 96-well plates to determine drug susceptibility.

bioRxiv · Jun 15, 2018Microbiology