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

Computational optimization of angiotensin-converting enzyme 2 for SARS-CoV-2 Spike molecular recognition

1 Jan 2021

Abstract excerpt

Since the beginning of the Covid19 pandemic, many efforts have been devoted to identifying approaches to neutralize SARS-CoV-2 replication within the host cell. A promising strategy to block the infection consists of using a mutant of the human receptor angiotensin-converting enzyme 2 (ACE2) as a decoy to compete with endogenous ACE2 for the binding to the SARS-CoV-2 Spike protein, which decreases the ability of...

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 SARS-CoV-2 and COVID-19 Research
Share to SARS-CoV-2 detection and testing

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34002118
DOI: 10.1016/j.csbj.2021.05.016

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Computational optimization of angiotensin-converting enzyme 2 for SARS-CoV-2 Spike molecular recognitionPMID 34002118Read ↗

Computational prediction of the effect of amino acid changes on the binding affinity between SARS-CoV-2 spike protein and the human ACE2 receptorSemantic proximity Read ↗

Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptorSemantic proximity Read ↗

Two Receptor Binding Strategy of SARS-CoV-2 Is Mediated by Both the N-Terminal and Receptor-Binding Spike DomainSemantic proximity Read ↗

Rapid Assessment of Binding Affinity of SARS-COV-2 Spike Protein to the Human Angiotensin-Converting Enzyme 2 Receptor and to Neutralizing Biomolecules Based on Computer Simulations.Semantic proximity Read ↗

Computational prediction of the effect of mutations in the receptor-binding domain on the interaction between SARS-CoV-2 and human ACE2.Semantic proximity Read ↗

Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptor.Semantic proximity Read ↗

Investigation of Critical Binding Pattern in SARS-CoV-2 Spike Glycoprotein with Angiotensin-Converting Enzyme 2: An in Silico Analysis Semantic proximity Read ↗

Computational modeling of the effect of five mutations on the structure of the ACE2 receptor and their correlation with infectivity and virulence of some emerged variants of SARS-CoV-2 suggests mechanisms of binding affinity dysregulation.Semantic proximity Read ↗

Understanding the molecular interaction of SARS-CoV-2 spike mutants with ACE2 (angiotensin converting enzyme 2).Semantic proximity Read ↗

A modular molecular framework for quickly estimating the binding affinity of the spike protein of SARS-CoV-2 variants for ACE2, in presence of mutations at the spike receptor binding domainSemantic proximity Read ↗

Protein structure analysis of the interactions between SARS-CoV-2 spike protein and the human ACE2 receptor: from conformational changes to novel neutralizing antibodiesSemantic proximity Read ↗

In-Silico evidence for two receptors based strategy of SARS-CoV-2Semantic proximity Read ↗

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