About: Time-series oligonucleotide count to assign antiviral siRNAs with long utility fit in the big data era

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About: Time-series oligonucleotide count to assign antiviral siRNAs with long utility fit in the big data era Goto Sponge NotDistinct Permalink

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	Time-series oligonucleotide count to assign antiviral siRNAs with long utility fit in the big data era
Creator	Ikemura, T Iwasaki, Y Wada, K Wada, Y
Source	Medline; PMC
abstract	Oligonucleotides are key elements of nucleic acid therapeutics such as small interfering RNAs (siRNAs). Influenza and Ebolaviruses are zoonotic RNA viruses mutating very rapidly, and their sequence changes must be characterized intensively to design therapeutic oligonucleotides with long utility. Focusing on a total of 182 experimentally validated siRNAs for influenza A, B and Ebolaviruses compiled by the siRNA database, we conducted time-series analyses of occurrences of siRNA targets in these viral genomes. Reflecting their high mutation rates, occurrences of target oligonucleotides evidently fluctuate in viral populations and often disappear. Time-series analysis of the one-base changed sequences derived from each original target identified the oligonucleotide that shows a compensatory increase and will potentially become the ‘awaiting-type oligonucleotide’ the combined use of this oligonucleotide with the original can provide therapeutics with long utility. This strategy is also useful for assigning diagnostic reverse transcription-PCR primers with long utility.
has issue date	2017-09-14(xsd:dateTime)
bibo:doi	10.1038/gt.2017.76
bibo:pmid	28905886
has license	cc-by-nc-sa
sha1sum (hex)	e6fcd7b5c6235d17f46c1721bd8695775f1df236
schema:url	https://doi.org/10.1038/gt.2017.76
resource representing a document's title	Time-series oligonucleotide count to assign antiviral siRNAs with long utility fit in the big data era
has PubMed Central identifier	PMC5658673
has PubMed identifier	28905886
schema:publication	Gene Ther
resource representing a document's body	covid:e6fcd7b5c6235d17f46c1721bd8695775f1df236#body_text
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