Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithms

13 Sept 2023

Abstract excerpt

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the fast discovery of effective treatments to fight this worldwide concern. Several genes associated with the SARS-CoV-2, which are essential for its functionality, pathogenesis, and survival, have been identified. These genes, which play crucial roles in SARS-CoV-2 infection, are considered potential therapeutic targets. Developing drugs...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computational Drug Discovery Methods
Share to Machine Learning in Bioinformatics
Share to SARS-CoV-2 and COVID-19 Research

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37704748
DOI: 10.1038/s41598-023-42127-9

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithmsPMID 37704748Read ↗

Using unsupervised learning algorithms to identify essential genes associated with SARS-CoV-2 as potential therapeutic targets for COVID-19Semantic proximity Read ↗

Between viral targets and differentially expressed genes in COVID-19: the sweet spot for therapeutic intervention.Semantic proximity Read ↗

Genomic Biomarker Heterogeneities Between SARS-CoV-2 and COVID-19Semantic proximity Read ↗

Meta-Data Analysis to Explore the Hub of the Hub-Genes That Influence SARS-CoV-2 Infections Highlighting Their Pathogenetic Processes and Drugs RepurposingSemantic proximity Read ↗

Molecular signatures in the progression of COVID-19 severitySemantic proximity Read ↗

Identification of potential biomarkers and inhibitors for SARS-CoV-2 infectionSemantic proximity Read ↗

Essential functional molecules associated with SARS-CoV-2 infection: Potential therapeutic targets for COVID-19Semantic proximity Read ↗

Transcriptome and SARS-CoV-2 biological network directed analysis for better therapeutic developmentSemantic proximity Read ↗

Bioinformatics analysis of expression profiling by high throughput sequencing for identification of potential key genes among SARS-CoV-2/COVID 19Semantic proximity Read ↗

Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in severe acute respiratory syndrome corona virus 2 infection/COVID 19Semantic proximity Read ↗

Integrative COVID-19 Biological Network Inference with Probabilistic Core DecompositionSemantic proximity Read ↗

Looking for pathways related to COVID-19 phenotypes: Confirmation of pathogenic mechanisms by SARS-CoV-2 - Host interactomeSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.