About: Next-Generation Techniques for Discovering Human Monoclonal Antibodies

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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
title	Next-Generation Techniques for Discovering Human Monoclonal Antibodies
Creator	Biazrova, M Filatov, A Kopylov, T Lushova, A Prilipov, A Sadykova, G
source	Medline; PMC
abstract	Monoclonal antibodies have found wide applications in the treatment of cancer, as well as of autoimmune, infectious, and other diseases. Several dozen new antibodies are currently undergoing different stages of clinical trials, and some of them will soon be added to the list of immunotherapeutic drugs. Most of these antibodies have been generated using hybridoma technology or a phage display. In recent years, new methods of obtaining human monoclonal antibodies have been actively developing. These methods rely on sequencing immunoglobulin genes from B lymphocytes, as well as on the creation of antibody-secreting stable B-cell lines. The term next-generation antibody-discovery platforms has already been established in the literature to refer to these approaches. Our review focuses on describing the results obtained by these methods.
has issue date	2017-12-14(xsd:dateTime)
bibo:doi	10.1134/s0026893317060103
bibo:pmid	32214477
has license	no-cc
sha1sum (hex)	5f7c0e0bd68d969ced00ea0930aeb31cd49276f6
schema:url	https://doi.org/10.1134/s0026893317060103
resource representing a document's title	Next-Generation Techniques for Discovering Human Monoclonal Antibodies
has PubMed Central identifier	PMC7088925
has PubMed identifier	32214477
schema:publication	Mol Biol
resource representing a document's body	covid:5f7c0e0bd68d969ced00ea0930aeb31cd49276f6#body_text
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