ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

A simulation framework to investigate in vitro viral infection dynamics

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : A simulation framework to investigate in vitro viral infection dynamics
นักวิจัย : Bankhead, Armand , Mancini, Emiliano , Sims, Amy C. , Baric, Ralph S. , McWeeney, Shannon , Sloot, Peter M. A.
คำค้น : DRNTU::Engineering::Computer science and engineering
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2556
อ้างอิง : Bankhead, A., Mancini, E., Sims, A. C., Baric, R. S., McWeeney, S., & Sloot, P. M. A. (2013). A Simulation Framework to Investigate in vitro Viral Infection Dynamics. Journal of Computational Science, 4(3), 127-134. , 1877-7503 , http://hdl.handle.net/10220/10378 , http://www.sciencedirect.com/science/article/pii/S1877750311000858
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Journal of computational science
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Virus infection is a complex biological phenomenon for which in vitro experiments provide a uniquely concise view where data is often obtained from a single population of cells, under controlled environmental conditions. Nonetheless, data interpretation and real understanding of viral dynamics is still hampered by the sheer complexity of the various intertwined spatio-temporal processes. In this paper we present a tool to address these issues: a cellular automata model describing critical aspects of in vitro viral infections taking into account spatial characteristics of virus spreading within a culture well. The aim of the model is to understand the key mechanisms of SARS-CoV infection dynamics during the first 24 h post infection. Using a simulated annealing algorithm we tune free parameters with data from SARS-CoV infection of cultured lung epithelial cells. We also interrogate the model using a Latin Hypercube sensitivity analysis to identify which mechanisms are critical to the observed infection of host cells and the release of measured virus particles.

บรรณานุกรม :
Bankhead, Armand , Mancini, Emiliano , Sims, Amy C. , Baric, Ralph S. , McWeeney, Shannon , Sloot, Peter M. A. . (2556). A simulation framework to investigate in vitro viral infection dynamics.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Bankhead, Armand , Mancini, Emiliano , Sims, Amy C. , Baric, Ralph S. , McWeeney, Shannon , Sloot, Peter M. A. . 2556. "A simulation framework to investigate in vitro viral infection dynamics".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Bankhead, Armand , Mancini, Emiliano , Sims, Amy C. , Baric, Ralph S. , McWeeney, Shannon , Sloot, Peter M. A. . "A simulation framework to investigate in vitro viral infection dynamics."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2556. Print.
Bankhead, Armand , Mancini, Emiliano , Sims, Amy C. , Baric, Ralph S. , McWeeney, Shannon , Sloot, Peter M. A. . A simulation framework to investigate in vitro viral infection dynamics. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2556.