Bioinformatics Insights on the Physicochemical Properties of Hepatitis Virus Envelope Glycoproteins

Title:Bioinformatics Insights on the Physicochemical Properties of Hepatitis Virus Envelope Glycoproteins

Volume: 21

Author(s): Carlos Polanco*, Alberto Huberman, Vladimir N. Uversky, Enrique Hernández-Lemus E, Mireya Martínez-Garcia, Martha Rios Castro, Claudia Pimentel Hernández, Thomas Buhse, Gilberto Vargas-Alarcon, Francisco J. Roldan Gomez and Erika Jeannette López Oliva

Affiliation:

• Department of Electromechanical Instrumentation, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, 14080, Mexico
• Department of Mathematics, Faculty of Sciences, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico

Keywords: Bioinformatics, eHBV, Flaviviridae gene, HBsAg gene, hepatitis, hepatitis virus envelope glycoproteins, hepatitis B virus, hepatitis C virus, intrinsic disorder predisposition, mutant proteins, Polarity Index Method, Polarity Index Method 2.0v profile, structural proteomics.

Abstract: Background: Globally, hepatitis B and C infect 400 million people, more than 10 times the number of people living with HIV. In 2019, it was estimated that 1.1 million people died as a result of the disease (PAHO/WHO, January 2023).

Objective: This study aimed to conduct a computational analysis of the proteins that express the hepatitis virus envelope glycoproteins in order to gain insight into their function.

Methods: Different computational tools were used to calculate the Polarity Index Method 2.0v (PIM 2.0v) profile (previously titled Polarity Index Method profile) and the Protein Intrinsic Disorder Predisposition (PIDP) analyzed for each sequence, in addition to computational tools that made it possible to revise these proteins at the genetic level.

Results: Both the PIM 2.0v profile and the PIDP profile of various hepatitis B and C virus envelope glycoproteins were able to reproduce the structural and morphological similarities that they had previously. The presence of certain patterns in each of these profiles made this accomplishment feasible.

Conclusion: Computational programs could reproduce characteristic PIM 2.0v profiles of the hepatitis B and C virus envelope glycoproteins. This information is useful for a better understanding of this emerging virus.

Cite this article as:

Polanco Carlos*, Huberman Alberto, Uversky N. Vladimir, Hernández-Lemus E Enrique, Martínez-Garcia Mireya, Castro Rios Martha, Hernández Pimentel Claudia, Buhse Thomas, Vargas-Alarcon Gilberto, Gomez J. Roldan Francisco and Oliva Jeannette López Erika, Bioinformatics Insights on the Physicochemical Properties of Hepatitis Virus Envelope Glycoproteins, Letters in Drug Design & Discovery 2024; 21 () . https://dx.doi.org/10.2174/0115701808264877231014175922