About: A virtual ELISA to quantitate COVID‐19 antibodies in patient serum

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.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 virtual ELISA to quantitate COVID‐19 antibodies in patient serum
Creator	Benedict, St Correspondence, Henry Henry, \| Jakubowski, Jakubowski, V John's University, St Joseph, Minnesota Simpson, Kevin St, /
Source	Medline; PMC
abstract	Enzyme‐linked immunosorbent assays (ELISAs) are used widely in biotechnology, pharmaceutical, and clinical medicine labs. At the same time, they appear to be underrepresented in chemistry and biochemistry curricula, even though their sensitivity, selectivity, and ease of use would argue for their widespread use. We describe here an online ELISA activity suitable for stand‐alone use or in conjunction with an actual wet lab ELISA. Specifically, we offer real and mock data for a hypothetical ELISA to detect plasma antibodies to COVID‐19 in infected patients who have had the disease. Much of the activity focuses on chemical and mathematical models to fit ELISA or any macromolecule/ligand binding data, a skill that addresses perhaps the most relevant and difficult learning goal of an ELISA experiment.
has issue date	2020-07-14(xsd:dateTime)
bibo:doi	10.1002/bmb.21403
bibo:pmid	32663903
has license	no-cc
sha1sum (hex)	167967c0c90a1121191385bbdc5cb1d2b7eea34f
schema:url	https://doi.org/10.1002/bmb.21403
resource representing a document's title	A virtual ELISA to quantitate COVID‐19 antibodies in patient serum
has PubMed Central identifier	PMC7405027
has PubMed identifier	32663903
schema:publication	Biochem Mol Biol Educ
resource representing a document's body	covid:167967c0c90a1121191385bbdc5cb1d2b7eea34f#body_text
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