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

In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Fang Senbiao, Zheng Ruoqian, Lei Chuqi, Wang Jianxin, Zhou Renyi, Li Min

Abstract excerpt

The Coronavirus Disease 2019 (COVID-19) has become an international public health emergency, posing a serious threat to human health and safety around the world. The 2019-nCoV coronavirus spike protein was confirmed to be highly susceptible to various mutations, which can trigger apparent changes of virus transmission capacity and the pathogenic mechanism. In this article, the binding interface was obtained by...

Read the complete abstract on PubMed

Topics

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

Share to Angiotensin-Converting Enzyme 2
Share to Binding Sites

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to COVID-19

Share to Molecular Dynamics Simulation

Share to Mutation

Share to Protein Binding

Share to SARS-CoV-2

Share to Spike Glycoprotein, Coronavirus

Source

Open in PubMed Open full text

Identifiers

PMID: 33560990
DOI: 10.1109/TCBB.2021.3058265
PMCID: PMC9328728

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2.PMID 33560990Read ↗

Binding affinity improvement analysis of multiple-mutant Omicron on 2019-nCov to human ACE2 by in silico predictions.Semantic proximity Read ↗

Binding affinity improvement analysis of multiple-mutant Omicron on 2019-nCov to human ACE2 by In-silico predictionsSemantic proximity Read ↗

Critical Sequence Hot-spots for Binding of nCOV-2019 to ACE2 as Evaluated by Molecular SimulationsSemantic proximity Read ↗

Evaluation of the Effect of D614g, N501y and S477n Mutation in Sars-Cov-2 through Computational ApproachSemantic proximity Read ↗

Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations.Semantic proximity Read ↗

Binding Ability Prediction between Spike Protein and Human ACE2 Reveals the Adaptive Strategy of SARS-CoV-2 in HumansSemantic 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 ↗

Coronavirus Disease 2019 (COVID-19) Binding Mechanism with Human ACE2: A Computational ApproachSemantic proximity Read ↗

Investigation of the genetic variation in ACE2 on the structural recognition by the novel coronavirus (SARS-CoV-2)Semantic proximity Read ↗

Molecular Mechanism of the N501Y Mutation for Enhanced Binding between SARS-CoV-2’s Spike Protein and Human ACE2 ReceptorSemantic proximity Read ↗

Investigation of the genetic variation in ACE2 on the structural recognition by the novel coronavirus (SARS-CoV-2).Semantic proximity Read ↗

Molecular informatics indicates better binding-energetic of Delta variant (B.1.617.2) with ACE2 than wild, D614G or N501Y CoV-2 is fully blocked by 84 amino-acid cut of wild CoV-2 spike.Semantic proximity Read ↗

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