Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

Autor: Shade Horn, Jacky L. Snoep, David D. van Niekerk

Publikováno v: BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)

Abstract Background The fidelity and reliability of disease model predictions depend on accurate and precise descriptions of processes and determination of parameters. Various models exist to describe within-host dynamics during malaria infection but

Externí odkaz: https://doaj.org/article/6b5cf511862a477a9a02f6e007bd85c4

ALaSCA: a computational platform for quantifying the effect of proteins using Pearlian causal inference, with an example application in Alzheimer’s disease

Autor: Nina Truter, Zuné Jansen van Rensburg, Radouane Oudrhiri, David D. Van Niekerk, Ben Loos, Raminderpal Singh, Carla Louw

IntroductionAn urgent need to delay the onset of aging-associated diseases has arisen due to increasing human lifespan. A dramatic surge in the number of identified potential molecular targets that could promote successful aging, has led to the chall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26bc3f508e0a951cfbaae2969e0a616f
https://doi.org/10.1101/2022.10.31.514546

Computational modelling of the Δ4 and Δ5 adrenal steroidogenic pathways provides insight into hypocortisolism

Autor: Yolanda Engelbrecht, Pieter Swart, Erick J. van Schalkwyk, David D. van Niekerk, Jacky L. Snoep, Carla Louw, Karl-Heinz Storbeck, Riaan Conradie, Amanda C. Swart, Ralie P. Louw

Publikováno v: Molecular and cellular endocrinology, 526:111194, 1-8. Elsevier Ireland Ltd
Louw, C, van Schalkwyk, E J, Conradie, R, Louw, R, Engelbrecht, Y, Storbeck, K H, Swart, A C, van Niekerk, D D, Snoep, J L & Swart, P 2021, ' Computational modelling of the Δ4 and Δ5 adrenal steroidogenic pathways provides insight into hypocortisolism ', Molecular and cellular endocrinology, vol. 526, 111194, pp. 1-8 . https://doi.org/10.1016/j.mce.2021.111194

This study demonstrates the application of a mathematical steroidogenic model, constructed with individual in vitro enzyme characterisations, to simulate in vivo steroidogenesis in a diseased state. This modelling approach was applied to the South Af

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::993c535c0ffe8a7a27f1f1a65ebb8f30
https://doi.org/10.1016/j.mce.2021.111194

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