VINI in silico model of cancer

Tomić, Draško (2020) VINI in silico model of cancer. [Dataset] (Unpublished)

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Abstract

The VINI in silico model of cancer approaches cancer in the spirit of system biology, and is oriented towards analysis of metabolic pathways. It was tested with the data from KEGG database, which, along with Reactome is considered the most reliable source of experimentally confirmed metabolic reactions. The VINI model expresses near 92% in vitro and 80% in vivo accuracy in predicting the efficacy of cancer drugs. Because of the current situation with COVID-19 disease, its functionality was extended, and VINI is now able to predict the efficacy of drugs and chemical compounds in inhibiting the SARS-CoV-2 Spike glycoprotein.

Item Type:	Dataset
Uncontrolled Keywords:
Subjects:	BIOMEDICINE AND HEALTHCARE > Basic Medical Sciences > Human Genetics, Genomics and Proteomics BIOTECHNICAL SCIENCES > Biotechnology > Molecular Biotechnology
Divisions:	Center for Informatics and Computing
Depositing User:	Draško Tomić
Date Deposited:	03 Apr 2020 06:22
URI:	http://fulir.irb.hr/id/eprint/5420

Available Versions of this Item

• VINI in silico model of cancer (deposited 03 Apr 2020 06:22) [Currently Displayed]
  • Results of the efficacy of FDA approved antiviral drugs on SARS-CoV-2 spike glycoprotein (deposited 18 Jan 2021 07:30)

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