SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
- PMID: 35726315
- PMCID: PMC9127179
- DOI: 10.1016/j.xpro.2022.101460
SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2
Abstract
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).
Keywords: Bioinformatics; Microbiology; Proteomics; Systems biology.
© 2022 The Author(s).
Conflict of interest statement
The authors declare competing interests.
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