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:
Protocol
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
Descripción
Sumario: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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