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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.
  • Yerukala Sathipati S; Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, USA. Electronic address: sathipathi.srinivasulu@marshfieldclinic.org.
  • Tsai MJ; Hinda and Arthur Marcus Institute for Aging Research at Hebrew Senior Life, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
  • Carter T; Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, USA.
  • Shukla SK; Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, USA.
  • Ho SY; Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Center for intelligent Drug Systems and Smart Bio-Devices (IDS(2)B), National Yang M
STAR Protoc ; 3(3): 101460, 2022 09 16.
Article in English | MEDLINE | ID: covidwho-1867903
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).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Spike Glycoprotein, Coronavirus / SARS-CoV-2 Type of study: Prognostic study Language: English Journal: STAR Protoc Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Spike Glycoprotein, Coronavirus / SARS-CoV-2 Type of study: Prognostic study Language: English Journal: STAR Protoc Year: 2022 Document Type: Article