Publications by authors named "Anastasia A Nikitina"
Article Synopsis
- * Two RS methods were tested: collaborative filtering and content-based filtering, both showing good results in predicting antiviral activity classes and interaction profiles for new compounds.
- * The methods achieved high prediction quality, with ROC scores over 0.9, suggesting that even basic RS techniques can be valuable in discovering antiviral drugs.
Recent outbreaks of dangerous viral infections, such as Ebola virus disease, Zika fever, etc., are forcing the search for new antiviral compounds. Preferably, such compounds should possess broad-spectrum antiviral activity, as the development of drugs for the treatment of dozens of viral infections lacking specific treatment would require significant resources.
View Article and Find Full Text PDFThe discovery of antiviral drugs is a rapidly developing area of medicinal chemistry research. The emergence of resistant variants and outbreaks of poorly studied viral diseases make this area constantly developing. The amount of antiviral activity data available in ChEMBL consistently grows, but virus taxonomy annotation of these data is not sufficient for thorough studies of antiviral chemical space.
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