Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Catherine A A Beauchemin"'
Autor:
Daniel Cresta, Donald C Warren, Christian Quirouette, Amanda P Smith, Lindey C Lane, Amber M Smith, Catherine A A Beauchemin
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1010877 (2023)
[This corrects the article DOI: 10.1371/journal.pcbi.1009480.].
Externí odkaz:
https://doaj.org/article/1ea084e9857c4e4183c3d48f660b6879
Autor:
Daniel Cresta, Donald C Warren, Christian Quirouette, Amanda P Smith, Lindey C Lane, Amber M Smith, Catherine A A Beauchemin
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10, p e1009480 (2021)
The endpoint dilution assay's output, the 50% infectious dose (ID50), is calculated using the Reed-Muench or Spearman-Kärber mathematical approximations, which are biased and often miscalculated. We introduce a replacement for the ID50 that we call
Externí odkaz:
https://doaj.org/article/ceaf78c8923c45f0a7ea8d8aea1bad0b
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 11, p e1008424 (2020)
[This corrects the article DOI: 10.1371/journal.pcbi.1007705.].
Externí odkaz:
https://doaj.org/article/366872efe5da4b1eb77da7bd3efa6ebc
Autor:
Laura E Liao, Jonathan Carruthers, Sophie J Smither, CL4 Virology Team, Simon A Weller, Diane Williamson, Thomas R Laws, Isabel García-Dorival, Julian Hiscox, Benjamin P Holder, Catherine A A Beauchemin, Alan S Perelson, Martín López-García, Grant Lythe, John N Barr, Carmen Molina-París
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 11, p e1008375 (2020)
Mathematical modelling has successfully been used to provide quantitative descriptions of many viral infections, but for the Ebola virus, which requires biosafety level 4 facilities for experimentation, modelling can play a crucial role. Ebola virus
Externí odkaz:
https://doaj.org/article/b54f06ac11494b4893a7a1b336957252
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007705 (2020)
Within the human respiratory tract (HRT), virus diffuses through the periciliary fluid (PCF) bathing the epithelium. But virus also undergoes advection: as the mucus layer sitting atop the PCF is pushed along by the ciliated cell's beating cilia, the
Externí odkaz:
https://doaj.org/article/98afc44ee10543f3bacd28f8bda326f8
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0214708 (2019)
Many aspects of the respiratory syncytial virus (RSV) are still poorly understood. Yet these knowledge gaps have had and could continue to have adverse, unintended consequences for the efficacy and safety of antivirals and vaccines developed against
Externí odkaz:
https://doaj.org/article/f96cb0c687f34786a81cf10c8642afad
Autor:
Jamie Porthiyas, Daniel Nussey, Catherine A. A. Beauchemin, Donald C. Warren, Christian Quirouette, Kathleen P. Wilkie
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Mechanistic mathematical models (MMs) are a powerful tool to help us understand and predict the dynamics of tumour growth under various conditions. In this work, we use 5 MMs with an increasing number of parameters to explore how certain (of
Externí odkaz:
https://doaj.org/article/f027652e83614f288dc0c0b840413978
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0183621 (2017)
Mathematical models (MMs) have been used to study the kinetics of influenza A virus infections under antiviral therapy, and to characterize the efficacy of antivirals such as neuraminidase inhibitors (NAIs). NAIs prevent viral neuraminidase from clea
Externí odkaz:
https://doaj.org/article/8998af9bc2c24e7caf1e1c303b2978e3
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0180582 (2017)
The emergence of influenza drug resistance has become of particular interest as current planning for an influenza pandemic involves using massive amounts of antiviral drugs. We use semi-stochastic simulations to examine the emergence of drug resistan
Externí odkaz:
https://doaj.org/article/282515ab2b764df7ba0118d7e374ed1b
Autor:
Eric G Paradis, Lady Tatiana Pinilla, Benjamin P Holder, Yacine Abed, Guy Boivin, Catherine A A Beauchemin
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0126115 (2015)
The 2009 pandemic H1N1 (H1N1pdm09) influenza virus is naturally susceptible to neuraminidase (NA) inhibitors, but mutations in the NA protein can cause oseltamivir resistance. The H275Y and I223V amino acid substitutions in the NA of the H1N1pdm09 in
Externí odkaz:
https://doaj.org/article/cc3e16a4daa04c41bdc136693e8ae182