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Philip W Fowler

Showing results (1-10 of 59) with videos related to

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Interface Focus|November 12, 2020
How quickly can we predict trimethoprim resistance using alchemical free energy methods?Philip W Fowler
Journal of the Royal Society, Interface|July 20, 2006
Modelling biological complexity: a physical scientist's perspectivePeter V Coveney, Philip W Fowler
Biophysical Journal|April 25, 2006
A computational protocol for the integration of the monotopic protein prostaglandin H2 synthase into a phospholipid bilayerPhilip W Fowler, Peter V Coveney
Journal of Computational Chemistry|September 2, 2022
Predicting antibiotic resistance in complex protein targets using alchemical free energy methodsAlice E Brankin, Philip W Fowler
ACS Central Science|September 5, 2019
Predicting Resistance Is (Not) FutileAlice E Brankin, Philip W Fowler
Jac-Antimicrobial Resistance|April 7, 2023
Inclusion of minor alleles improves catalogue-based prediction of fluoroquinolone resistance in <i>Mycobacterium tuberculosis</i>Alice E Brankin, Philip W Fowler
Jac-Antimicrobial Resistance|October 13, 2025
Subpopulations in clinical samples of <i>M. tuberculosis</i> can give rise to rifampicin resistance and shed light on how resistance is acquiredViktoria M Brunner, Philip W Fowler
Microbial Genomics|February 5, 2024
Compensatory mutations are associated with increased <i>in vitro</i> growth in resistant clinical samples of <i>Mycobacterium tuberculosis</i>Viktoria M Brunner, Philip W Fowler
Nature Communications|May 23, 2013
The pore of voltage-gated potassium ion channels is strained when closedPhilip W Fowler, Mark S P Sansom
ERJ Open Research|July 1, 2025
Predicting rifampicin resistance in <i>Mycobacterium tuberculosis</i> using machine learning informed by protein structural and chemical featuresCharlotte I Lynch, Dylan Adlard, Philip W Fowler
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Interface Focus|November 12, 2020
How quickly can we predict trimethoprim resistance using alchemical free energy methods?Philip W Fowler
Journal of the Royal Society, Interface|July 20, 2006
Modelling biological complexity: a physical scientist's perspectivePeter V Coveney, Philip W Fowler
Biophysical Journal|April 25, 2006
A computational protocol for the integration of the monotopic protein prostaglandin H2 synthase into a phospholipid bilayerPhilip W Fowler, Peter V Coveney
Journal of Computational Chemistry|September 2, 2022
Predicting antibiotic resistance in complex protein targets using alchemical free energy methodsAlice E Brankin, Philip W Fowler
ACS Central Science|September 5, 2019
Predicting Resistance Is (Not) FutileAlice E Brankin, Philip W Fowler
Jac-Antimicrobial Resistance|April 7, 2023
Inclusion of minor alleles improves catalogue-based prediction of fluoroquinolone resistance in <i>Mycobacterium tuberculosis</i>Alice E Brankin, Philip W Fowler
Jac-Antimicrobial Resistance|October 13, 2025
Subpopulations in clinical samples of <i>M. tuberculosis</i> can give rise to rifampicin resistance and shed light on how resistance is acquiredViktoria M Brunner, Philip W Fowler
Microbial Genomics|February 5, 2024
Compensatory mutations are associated with increased <i>in vitro</i> growth in resistant clinical samples of <i>Mycobacterium tuberculosis</i>Viktoria M Brunner, Philip W Fowler
Nature Communications|May 23, 2013
The pore of voltage-gated potassium ion channels is strained when closedPhilip W Fowler, Mark S P Sansom
ERJ Open Research|July 1, 2025
Predicting rifampicin resistance in <i>Mycobacterium tuberculosis</i> using machine learning informed by protein structural and chemical featuresCharlotte I Lynch, Dylan Adlard, Philip W Fowler
Pageof 6