SPIKES: Identification of Physicochemical Properties of Spike Proteins Across Diverse Host Species of SARS-CoV-2

Overview

Journal STAR Protoc

Publisher Cell Press

Specialties Biology
Biomedical Engineering
Science

Date 2022 Jun 21

PMID 35726315

Authors

Srinivasulu Yerukala Sathipati

Ming-Ju Tsai

Tonia Carter

Sanjay K Shukla

Shinn-Ying Ho

Affiliations

Soon will be listed here.

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).

Citing Articles

An evolutionary learning-based method for identifying a circulating miRNA signature for breast cancer diagnosis prediction.

Yerukala Sathipati S, Tsai M, Aimalla N, Moat L, Shukla S, Allaire P NAR Genom Bioinform. 2024; 6(1):lqae022.

PMID: 38406797 PMC: 10894035. DOI: 10.1093/nargab/lqae022.

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