About: A Simulation Framework to Investigate in vitro Viral Infection Dynamics

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A Simulation Framework to Investigate in vitro Viral Infection Dynamics
Creator	Baric, Ralph Sims, Amy Bankhead, Armand Mancini, Emiliano Mcweeney, Shannon Sloot, Peter
Source	Elsevier; Medline; PMC
abstract	Abstract 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 24hours post infection. We 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.
has issue date	2011-12-31(xsd:dateTime)
bibo:doi	10.1016/j.procs.2011.04.195
bibo:pmid	32288900
has license	els-covid
sha1sum (hex)	4c21beda837ab7d1ee4083c17b5b3355230a3c23
schema:url	https://doi.org/10.1016/j.procs.2011.04.195
resource representing a document's title	A Simulation Framework to Investigate in vitro Viral Infection Dynamics
has PubMed Central identifier	PMC7129957
has PubMed identifier	32288900
schema:publication	Procedia Computer Science
resource representing a document's body	covid:4c21beda837ab7d1ee4083c17b5b3355230a3c23#body_text
is schema:about of	named entity 'infection' named entity 'account' named entity 'Viral' named entity 'VIRUS PARTICLES' named entity 'ENVIRONMENTAL' named entity 'VIRUS INFECTION' named entity 'TO IDENTIFY' named entity 'COMPLEXITY' named entity 'VIRAL INFECTIONS' named entity 'COMPLEX' named entity 'AIM' named entity 'CHARACTERISTICS' named entity 'OBSERVED' named entity 'SPATIAL' named entity 'REAL' named entity 'CELLULAR AUTOMATA' named entity 'HOST CELLS' named entity 'WHERE' named entity 'RELEASE' named entity 'OBTAINED' named entity 'PAPER' named entity 'KEY' named entity 'TAKING' named entity 'PHENOMENON' named entity 'TO INVESTIGATE' named entity 'DYNAMICS' named entity 'IN VITRO' named entity 'VIRAL INFECTION' named entity 'EXPERIMENTS' named entity 'SENSITIVITY ANALYSIS' named entity 'IS A' named entity 'MECHANISMS' named entity 'MEASURED' named entity 'CONDITIONS' named entity 'SINGLE' named entity 'ADDRESS' named entity 'INTERPRETATION' named entity 'POPULATION OF CELLS' named entity 'SARS-COV INFECTION' named entity 'SIMULATION' named entity 'SPREADING' named entity 'ISSUES' named entity 'CRITICAL' named entity 'THESE' named entity 'CULTURE' named entity 'PROCESSES' named entity 'PRESENT' named entity 'INFECTION' named entity 'VARIOUS' named entity 'DESCRIBING' named entity '24 HOURS' named entity 'PROVIDE' named entity 'IN VITRO' named entity 'DATA' named entity 'VIEW' named entity 'UNDERSTANDING' named entity 'VIRUS' named entity 'TEMPORAL' named entity 'TOOL' named entity 'CONCISE' named entity 'USING' named entity 'DYNAMICS' named entity 'BIOLOGICAL' named entity 'LATIN' named entity 'VIRAL DYNAMICS' named entity 'MODEL' named entity 'ACCOUNT' named entity 'POST' named entity 'CONTROLLED' named entity 'conditions' named entity 'aim' named entity 'address' named entity 'post' named entity 'data' named entity 'cellular automata' named entity 'concise'

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