About: Computational modeling of Human-nCoV protein-protein interaction network

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Computational modeling of Human-nCoV protein-protein interaction network Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Computational modeling of Human-nCoV protein-protein interaction network
Creator	Basu, Subhadip Nasipuri, Mita Chatterjee, Piyali Saha, Sovan Kumar Halder, Anup Sekhar Bandyopadhyay, Soumyendu Sudhir, Dr Sur, Chandra
Source	ArXiv
abstract	COVID-19 has created a global pandemic with high morbidity and mortality in 2020. Novel coronavirus (nCoV), also known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2), is responsible for this deadly disease. International Committee on Taxonomy of Viruses (ICTV) has declared that nCoV is highly genetically similar to SARS-CoV epidemic in 2003 (89% similarity). Limited number of clinically validated Human-nCoV protein interaction data is available in the literature. With this hypothesis, the present work focuses on developing a computational model for nCoV-Human protein interaction network, using the experimentally validated SARS-CoV-Human protein interactions. Initially, level-1 and level-2 human spreader proteins are identified in SARS-CoV-Human interaction network, using Susceptible-Infected-Susceptible (SIS) model. These proteins are considered as potential human targets for nCoV bait proteins. A gene-ontology based fuzzy affinity function has been used to construct the nCoV-Human protein interaction network at 99.98% specificity threshold. This also identifies the level-1 human spreaders for COVID-19 in human protein-interaction network. Level-2 human spreaders are subsequently identified using the SIS model. The derived host-pathogen interaction network is finally validated using 7 potential FDA listed drugs for COVID-19 with significant overlap between the known drug target proteins and the identified spreader proteins.
has issue date	2020-05-05(xsd:dateTime)
has license	arxiv
sha1sum (hex)	b51b4acf0c67ab0a7c09cc4225896843a0af652b
resource representing a document's title	Computational modeling of Human-nCoV protein-protein interaction network
resource representing a document's body	covid:b51b4acf0c67ab0a7c09cc4225896843a0af652b#body_text
is schema:about of	named entity 'proteins' named entity 'proteins' named entity 'developing' named entity 'proteins' named entity 'protein' named entity 'protein-protein interaction' named entity 'LITERATURE' named entity 'POTENTIAL' named entity 'USING' named entity 'TARGETS' named entity 'fuzzy' named entity 'protein' named entity 'level' named entity 'high' named entity 'proteins' named entity 'Limited' named entity 'affinity' named entity 'spreader' named entity 'interactions' named entity 'SARS-CoV' named entity 'ICTV' named entity 'global pandemic' named entity 'interaction network' named entity 'nCoV' named entity 'computational model' named entity 'coronavirus' named entity 'SARS-CoV2' named entity 'COVID-19' named entity 'Computational modeling' named entity 'COVID-19' named entity 'Lopinavir' named entity 'SARS-CoV' named entity 'protein' named entity 'SARS-CoV' named entity 'protein' named entity 'Infection' named entity 'SARS-CoV' named entity 'nCoV' named entity 'spreadability' named entity 'computational model' named entity 'infection' named entity 'nCoV' named entity 'Hydroxychloroquine' named entity 'Remdesivir' named entity 'human beings' named entity 'FDA' named entity 'Saudi Arabia' named entity 'COVID-19' named entity 'virus' named entity 'Azithromycin' named entity 'SARS-CoV2' named entity 'computational model' named entity 'Hydroxychloroquine' named entity 'biological pathway' named entity 'spreadability' named entity 'binding affinity' named entity 'SARS' named entity 'FDA' named entity 'Severe Acute Respiratory Syndrome' named entity 'SARS-CoV2' named entity 'SARS-CoV' named entity 'protein' named entity 'protein' named entity 'infection' named entity 'binding affinity' named entity 'SARS-CoV' named entity 'spreadability' named entity 'spreadability' named entity 'spreadability' named entity 'nCoV' named entity 'biological process' named entity 'infection' named entity 'Coronaviridae' named entity 'Darunavir' named entity 'MERS' named entity 'SIC' named entity 'Wuhan' named entity 'SARS-CoV' named entity 'CYP3A4' named entity 'protein'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software