DOI:

https://doi.org/10.14483/2322939X.12973

Publicado:

2018-05-17

Número:

Vol. 15 Núm. 1 (2018)

Sección:

Investigación y Desarrollo

Computational analysis of resistance mutations in the hepatitis C virus

Análisis computacional de resistencia a mutaciones en el virus de la hepatitis C

Autores/as

  • Karina Salvatierra
  • Hector Florez Universidad Distrital Francisco José de Caldas

Palabras clave:

antivirales, análisis computacional, virus de la hepatitis C, NS5B (es).

Palabras clave:

antivirals, computational analysis, hepatitis C virus, NS5B (en).

Resumen (en)

Hepatitis C virus (HCV) continues to be a public health problem worldwide. The development of drugs that target virus proteins such as NS5B, aims to provide more effective treatment in the future. These direct-acting antivirals (DAAs) have demonstrated potent in vitro and in vivo effect; however, mutations have been described in HCV NS5B associated with resistance to DAA. Detecting mutations that are resistant to DAAs is important to prevent potential treatment failures. In this work, we developed a software to analyze mutations that are resistant to DAAs in NS5B gene of HCV. For this, we used the NS5B gene sequence isolate Con1 genotype 1b HCV, based on the main positions mutations associated with resistance to DAAs in vitro and in vivo described in the literature. The software algorithm allows computer analysis of possible changes in nucleotide and amino acid positions associated with resistance mutations to DAAs in NS5B of HCV

Resumen (es)

El virus de la hepatitis C (VHC) continúa siendo un problema de salud pública en todo el mundo. El desarrollo de medicamentos que se dirigen a las proteínas del virus como NS5B, tiene como objetivo proporcionar un tratamiento más eficaz en el futuro. Estos antivirales de acción directa (DAA) han demostrado un potente efecto in vitro e in vivo; sin embargo, se han descrito mutaciones en la NS5B del VHC asociada a la resistencia a DAA. La detección de mutaciones que son resistentes a DAA es importante para evitar posibles fallas de tratamiento. En este trabajo, desarrollamos un software para analizar mutaciones que son resistentes a los DAA en el gen NS5B del VHC. Para esto, utilizamos la secuencia del gen NS5B aislada Con1 genotipo 1b HCV, con base en las principales posiciones asociadas con la resistencia a DAA in vitro e in vivo descritas en la literatura. El algoritmo del software permite el análisis computacional de posibles cambios en las posiciones de nucleótidos y aminoácidos asociadas con mutaciones de resistencia a DAA en NS5B de HCV.

Biografía del autor/a

Hector Florez, Universidad Distrital Francisco José de Caldas

Ingeniero Electrónico, Ingeniero de sistemas, Magister en Ciencias de la Información y las Comunicaciones, especialista en Alta Gerencia, Magister en Gestion de Organizaciones, Doctor (c) en Ingenieria

Docente investigador de la Universidad Distrital Francisco José de Caldas de Bogotá

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Cómo citar

IEEE

[1]
K. Salvatierra y H. Florez, «Computational analysis of resistance mutations in the hepatitis C virus», Rev. Vínculos, vol. 15, n.º 1, pp. 27–33, may 2018.

ACM

[1]
Salvatierra, K. y Florez, H. 2018. Computational analysis of resistance mutations in the hepatitis C virus. Revista Vínculos. 15, 1 (may 2018), 27–33. DOI:https://doi.org/10.14483/2322939X.12973.

ACS

(1)
Salvatierra, K.; Florez, H. Computational analysis of resistance mutations in the hepatitis C virus. Rev. Vínculos 2018, 15, 27-33.

APA

Salvatierra, K., y Florez, H. (2018). Computational analysis of resistance mutations in the hepatitis C virus. Revista Vínculos, 15(1), 27–33. https://doi.org/10.14483/2322939X.12973

ABNT

SALVATIERRA, Karina; FLOREZ, Hector. Computational analysis of resistance mutations in the hepatitis C virus. Revista Vínculos, [S. l.], v. 15, n. 1, p. 27–33, 2018. DOI: 10.14483/2322939X.12973. Disponível em: https://revistas.udistrital.edu.co/index.php/vinculos/article/view/12973. Acesso em: 28 mar. 2024.

Chicago

Salvatierra, Karina, y Hector Florez. 2018. «Computational analysis of resistance mutations in the hepatitis C virus». Revista Vínculos 15 (1):27-33. https://doi.org/10.14483/2322939X.12973.

Harvard

Salvatierra, K. y Florez, H. (2018) «Computational analysis of resistance mutations in the hepatitis C virus», Revista Vínculos, 15(1), pp. 27–33. doi: 10.14483/2322939X.12973.

MLA

Salvatierra, Karina, y Hector Florez. «Computational analysis of resistance mutations in the hepatitis C virus». Revista Vínculos, vol. 15, n.º 1, mayo de 2018, pp. 27-33, doi:10.14483/2322939X.12973.

Turabian

Salvatierra, Karina, y Hector Florez. «Computational analysis of resistance mutations in the hepatitis C virus». Revista Vínculos 15, no. 1 (mayo 17, 2018): 27–33. Accedido marzo 28, 2024. https://revistas.udistrital.edu.co/index.php/vinculos/article/view/12973.

Vancouver

1.
Salvatierra K, Florez H. Computational analysis of resistance mutations in the hepatitis C virus. Rev. Vínculos [Internet]. 17 de mayo de 2018 [citado 28 de marzo de 2024];15(1):27-33. Disponible en: https://revistas.udistrital.edu.co/index.php/vinculos/article/view/12973

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