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SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2

We describe a protocol to identify physicochemical properties using amino acid sequences of spike (S) proteins of SARS-CoV-2. We present an S protein prediction technique named SPIKES, incorporating an inheritable bi-objective combinatorial genetic algorithm to determine the host species specificity...

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Detalles Bibliográficos
Autores principales: Yerukala Sathipati, Srinivasulu, Tsai, Ming-Ju, Carter, Tonia, Shukla, Sanjay K., Ho, Shinn-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127179/
https://www.ncbi.nlm.nih.gov/pubmed/35726315
http://dx.doi.org/10.1016/j.xpro.2022.101460
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author Yerukala Sathipati, Srinivasulu
Tsai, Ming-Ju
Carter, Tonia
Shukla, Sanjay K.
Ho, Shinn-Ying
author_facet Yerukala Sathipati, Srinivasulu
Tsai, Ming-Ju
Carter, Tonia
Shukla, Sanjay K.
Ho, Shinn-Ying
author_sort Yerukala Sathipati, Srinivasulu
collection PubMed
description We describe a protocol to identify physicochemical properties using amino acid sequences of spike (S) proteins of SARS-CoV-2. We present an S protein prediction technique named SPIKES, incorporating an inheritable bi-objective combinatorial genetic algorithm to determine the host species specificity. This protocol addresses the S protein amino acid sequence data collection, preprocessing, methodology, and analysis. For complete details on the use and execution of this protocol, please refer to Yerukala Sathipati et al. (2022).
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spelling pubmed-91271792022-05-24 SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2 Yerukala Sathipati, Srinivasulu Tsai, Ming-Ju Carter, Tonia Shukla, Sanjay K. Ho, Shinn-Ying STAR Protoc Protocol We describe a protocol to identify physicochemical properties using amino acid sequences of spike (S) proteins of SARS-CoV-2. We present an S protein prediction technique named SPIKES, incorporating an inheritable bi-objective combinatorial genetic algorithm to determine the host species specificity. This protocol addresses the S protein amino acid sequence data collection, preprocessing, methodology, and analysis. For complete details on the use and execution of this protocol, please refer to Yerukala Sathipati et al. (2022). Elsevier 2022-05-24 /pmc/articles/PMC9127179/ /pubmed/35726315 http://dx.doi.org/10.1016/j.xpro.2022.101460 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Yerukala Sathipati, Srinivasulu
Tsai, Ming-Ju
Carter, Tonia
Shukla, Sanjay K.
Ho, Shinn-Ying
SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
title SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
title_full SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
title_fullStr SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
title_full_unstemmed SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
title_short SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
title_sort spikes: identification of physicochemical properties of spike proteins across diverse host species of sars-cov-2
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127179/
https://www.ncbi.nlm.nih.gov/pubmed/35726315
http://dx.doi.org/10.1016/j.xpro.2022.101460
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