Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E)
Background: Zika virus, which is widely spread and infects humans through the bites of Aedes albopictus and Aedes aegypti female mosquitoes, represents a serious global health issue. Objective: The objective of the present study is to computationally characterize Zika virus polyproteins (UniProt Nam...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-10-01
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| Series: | Evolutionary Bioinformatics |
| Online Access: | https://doi.org/10.1177/11769343221130730 |
| _version_ | 1828163556560863232 |
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| author | Carlos Polanco Vladimir N Uversky Alberto Huberman Gilberto Vargas-Alarcón Jorge Alberto Castañón González Thomas Buhse Enrique Hernández Lemus Martha Rios Castro Erika Jeannette López Oliva Sergio Enrique Solís Nájera |
| author_facet | Carlos Polanco Vladimir N Uversky Alberto Huberman Gilberto Vargas-Alarcón Jorge Alberto Castañón González Thomas Buhse Enrique Hernández Lemus Martha Rios Castro Erika Jeannette López Oliva Sergio Enrique Solís Nájera |
| author_sort | Carlos Polanco |
| collection | DOAJ |
| description | Background: Zika virus, which is widely spread and infects humans through the bites of Aedes albopictus and Aedes aegypti female mosquitoes, represents a serious global health issue. Objective: The objective of the present study is to computationally characterize Zika virus polyproteins (UniProt Name: PRO_0000443018 [residues 1-3423], PRO_0000445659 [residues 1-3423] and PRO_0000435828 [residues 1-3419]) and their envelope proteins using their physico-chemical properties. Methods: To achieve this, the Polarity Index Method (PIM) profile and the Protein Intrinsic Disorder Predisposition (PIDP) profile of 3 main groups of proteins were evaluated: structural proteins extracted from specific Databases, Zika virus polyproteins, and their envelope proteins (E) extracted from UniProt Database. Once the PIM profile of the Zika virus envelope proteins (E) was obtained and since the Zika virus polyproteins were also identified with this profile, the proteins defined as “reviewed proteins” extracted from the UniProt Database were searched for the similar PIM profile. Finally, the difference between the PIM profiles of the Zika virus polyproteins and their envelope proteins (E) was tested using 2 non-parametric statistical tests. Results: It was found and tested that the PIM profile is an efficient discriminant that allows obtaining a “computational fingerprint” of each Zika virus polyprotein from its envelope protein (E). Conclusion: PIM profile represents a computational tool, which can be used to effectively discover Zika virus polyproteins from Databases, from their envelope proteins (E) sequences. |
| first_indexed | 2024-04-12T01:11:30Z |
| format | Article |
| id | doaj.art-d57087a62f764b69a060e2fcea8f5e45 |
| institution | Directory Open Access Journal |
| issn | 1176-9343 |
| language | English |
| last_indexed | 2024-04-12T01:11:30Z |
| publishDate | 2022-10-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Evolutionary Bioinformatics |
| spelling | doaj.art-d57087a62f764b69a060e2fcea8f5e452022-12-22T03:54:05ZengSAGE PublishingEvolutionary Bioinformatics1176-93432022-10-011810.1177/11769343221130730Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E)Carlos Polanco0Vladimir N Uversky1Alberto Huberman2Gilberto Vargas-Alarcón3Jorge Alberto Castañón González4Thomas Buhse5Enrique Hernández Lemus6Martha Rios Castro7Erika Jeannette López Oliva8Sergio Enrique Solís Nájera9Department of Mathematics, Faculty of Sciences, Universidad Nacional Autónoma de México, México City, MéxicoProtein Research Group, Institute for Biological Instrumentation of the Russian Academy of Sciences, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences,” Pushchino, Moscow Region, RussiaDepartment of Biochemistry, Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”, México City, MéxicoResearch Center, Instituto Nacional de Cardiología “Ignacio Chávez,” México City, MéxicoDepartment of Critical Care Medicine, Hospital Juárez de México, México City, MéxicoChemical Research Center, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, MéxicoDepartment of Computational Genomics, Instituto Nacional de Medicina Genómica, México City, MéxicoDepartment of Electromechanical Instrumentation, Instituto Nacional de Cardiología “Ignacio Chávez,” México City, MéxicoDepartment of Electromechanical Instrumentation, Instituto Nacional de Cardiología “Ignacio Chávez,” México City, MéxicoDepartamento de Física, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, MexicoBackground: Zika virus, which is widely spread and infects humans through the bites of Aedes albopictus and Aedes aegypti female mosquitoes, represents a serious global health issue. Objective: The objective of the present study is to computationally characterize Zika virus polyproteins (UniProt Name: PRO_0000443018 [residues 1-3423], PRO_0000445659 [residues 1-3423] and PRO_0000435828 [residues 1-3419]) and their envelope proteins using their physico-chemical properties. Methods: To achieve this, the Polarity Index Method (PIM) profile and the Protein Intrinsic Disorder Predisposition (PIDP) profile of 3 main groups of proteins were evaluated: structural proteins extracted from specific Databases, Zika virus polyproteins, and their envelope proteins (E) extracted from UniProt Database. Once the PIM profile of the Zika virus envelope proteins (E) was obtained and since the Zika virus polyproteins were also identified with this profile, the proteins defined as “reviewed proteins” extracted from the UniProt Database were searched for the similar PIM profile. Finally, the difference between the PIM profiles of the Zika virus polyproteins and their envelope proteins (E) was tested using 2 non-parametric statistical tests. Results: It was found and tested that the PIM profile is an efficient discriminant that allows obtaining a “computational fingerprint” of each Zika virus polyprotein from its envelope protein (E). Conclusion: PIM profile represents a computational tool, which can be used to effectively discover Zika virus polyproteins from Databases, from their envelope proteins (E) sequences.https://doi.org/10.1177/11769343221130730 |
| spellingShingle | Carlos Polanco Vladimir N Uversky Alberto Huberman Gilberto Vargas-Alarcón Jorge Alberto Castañón González Thomas Buhse Enrique Hernández Lemus Martha Rios Castro Erika Jeannette López Oliva Sergio Enrique Solís Nájera Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E) Evolutionary Bioinformatics |
| title | Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E) |
| title_full | Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E) |
| title_fullStr | Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E) |
| title_full_unstemmed | Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E) |
| title_short | Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E) |
| title_sort | bioinformatics based characterization of the sequence variability of zika virus polyprotein and envelope protein e |
| url | https://doi.org/10.1177/11769343221130730 |
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