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Predicting Functional Conformational Ensembles and Binding Mechanisms of Convergent Evolution for SARS-CoV-2 Spike Omicron Variants Using AlphaFold2 Sequence Scanning Adaptations and Molecular Dynamics Simulations

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.02.587850Source: DataRank Database

Predicting Functional Conformational Ensembles and Binding Mechanisms of Convergent Evolution for SARS-CoV-2 Spike Omicron Variants Using AlphaFold2 Sequence Scanning Adaptations and Molecular Dynamics Simulations is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:OA: greenTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

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Authors (6)

Mohammed Alshahrani ORCID,Grace Gupta,Sian Xiao ORCID,Peng Tao ORCID,Gennady M. Verkhivker ORCID

Live enrichment

PubMed:38617283 OpenAlex:https://openalex.org/W4393947927

green

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/04/03/2024.04.02.587850.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.04.02.587850

repositoryhttps://doi.org/10.1101/2024.04.02.587850

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38617283

Fields of Study

SARS-CoV-2 and COVID-19 ResearchProtein Structure and DynamicsRNA and protein synthesis mechanisms

Keywords

Molecular dynamicsMicrosecondChemistrySequence (biology)Conformational ensemblesCharacterization (materials science)Biological systemBiophysicsComputational chemistryPhysicsNanotechnologyMaterials scienceBiologyBiochemistry

Sustainable Development Goals

SDG 0: Affordable and clean energy