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

Understanding COVID-19 via comparative analysis of dark proteomes of SARS-CoV-2, human SARS and bat SARS-like coronaviruses

25 Jul 2020

Abstract excerpt

The recently emerged coronavirus designated as SARS-CoV-2 (also known as 2019 novel coronavirus (2019-nCoV) or Wuhan coronavirus) is a causative agent of coronavirus disease 2019 (COVID-19), which is rapidly spreading throughout the world now. More than 1.21 million cases of SARS-CoV-2 infection and more than 67,000 COVID-19-associated mortalities have been reported worldwide till the writing of this article, and...

Read the complete abstract on PubMed

Topics

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

Share to Machine Learning in Bioinformatics
Share to SARS-CoV-2 and COVID-19 Research
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32712910
DOI: 10.1007/s00018-020-03603-x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Understanding COVID-19 via comparative analysis of dark proteomes of SARS-CoV-2, human SARS and bat SARS-like coronavirusesPMID 32712910Read ↗

Intrinsically Disordered Proteins: Perspective on COVID-19 Infection and Drug DiscoverySemantic proximity Read ↗

Proteomic Approaches to Study SARS-CoV-2 Biology and COVID-19 PathologySemantic proximity Read ↗

Structural, genomic information and computational analysis of emerging coronavirus (SARS-CoV-2)Semantic proximity Read ↗

Role of Structural and Non-Structural Proteins and Therapeutic Targets of SARS-CoV-2 for COVID-19Semantic proximity Read ↗

Proteomics-Based Insights Into the SARS-CoV-2–Mediated COVID-19 Pandemic: A Review of the First Year of ResearchSemantic proximity Read ↗

In silico analysis of the aggregation propensity of the SARS-CoV-2 proteome: Insight into possible cellular pathologies.Semantic proximity Read ↗

Structural and non-structural proteins in SARS-CoV-2: potential aspects to COVID-19 treatment or prevention of progression of related diseasesSemantic proximity Read ↗

Identification and functional analysis of the SARS-COV-2 nucleocapsid proteinSemantic proximity Read ↗

Sequence Analysis and Structure Prediction of SARS‐CoV‐2 Accessory Proteins 9b and ORF14: Evolutionary Analysis Indicates Close Relatedness to Bat CoronavirusSemantic proximity Read ↗

Structural characterization of nonstructural protein 1 from SARS-CoV-2Semantic proximity Read ↗

COVID-19 prediction based on genome similarity of human SARS-CoV-2 and bat SARS-CoV-like coronavirusSemantic proximity Read ↗

AlphaFold2 Reveals Structural Patterns of Seasonal Haplotype Diversification in SARS-CoV-2 Nucleocapsid Protein Variants.Semantic proximity Read ↗

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