Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy
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| Format: | Artículo científico |
| Sprache: | es |
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Academia Brasileira de Ciências
2016
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| author | PAULO C.C. DOS SANTOS |
| author_facet | PAULO C.C. DOS SANTOS |
| contents | Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy PAULO C.C. DOS SANTOS HELDER F.S. LOPES ROSANA ALCALDE CLÁUDIO R. GONSALEZ JAIR M. ABE LUIS F. LOPEZ Multidisciplinaria (Ciencias Naturales y Exactas) HIV genotyping pattern recognition paraconsistent logic Artificial Neural Networks The high variability of HIV-1 as well as the lack of efficient repair mechanisms during the stages of viral replication, contribute to the rapid emergence of HIV-1 strains resistant to antiretroviral drugs. The selective pressure exerted by the drug leads to fixation of mutations capable of imparting varying degrees of resistance. The presence of these mutations is one of the most important factors in the failure of therapeutic response to medications. Thus, it is of critical to understand the resistance patterns and mechanisms associated with them, allowing the choice of an appropriate therapeutic scheme, which considers the frequency, and other characteristics of mutations. Utilizing Paraconsistents Arti fi cial Neural Networks, seated in Paraconsistent Annotated LogicEτ which has the capability of measuring uncertainties and inconsistencies, we have achieved levels of agreement above 90% when compared to the methodology proposed with the current methodology used to classify HIV-1 subtypes. The results demonstrate that Paraconsistents Artificial Neural Networks can serve as a promising tool of analysis. 2016 artículo científico 0001-3765 https://www.redalyc.org/articulo.oa?id=32744812027 es http://www.redalyc.org/revista.oa?id=327 Anais da Academia Brasileira de Ciências application/pdf Academia Brasileira de Ciências Anais da Academia Brasileira de Ciências (Brasil) Num.1 Vol.88 |
| format | Artículo científico |
| id | redalyc_32744812027 |
| institution | Redalyc |
| language | es |
| publishDate | 2016 |
| publisher | Academia Brasileira de Ciências |
| spellingShingle | Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy PAULO C.C. DOS SANTOS Multidisciplinaria (Ciencias Naturales y Exactas) HIV genotyping pattern recognition paraconsistent logic Artificial Neural Networks Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy PAULO C.C. DOS SANTOS HELDER F.S. LOPES ROSANA ALCALDE CLÁUDIO R. GONSALEZ JAIR M. ABE LUIS F. LOPEZ Multidisciplinaria (Ciencias Naturales y Exactas) HIV genotyping pattern recognition paraconsistent logic Artificial Neural Networks The high variability of HIV-1 as well as the lack of efficient repair mechanisms during the stages of viral replication, contribute to the rapid emergence of HIV-1 strains resistant to antiretroviral drugs. The selective pressure exerted by the drug leads to fixation of mutations capable of imparting varying degrees of resistance. The presence of these mutations is one of the most important factors in the failure of therapeutic response to medications. Thus, it is of critical to understand the resistance patterns and mechanisms associated with them, allowing the choice of an appropriate therapeutic scheme, which considers the frequency, and other characteristics of mutations. Utilizing Paraconsistents Arti fi cial Neural Networks, seated in Paraconsistent Annotated LogicEτ which has the capability of measuring uncertainties and inconsistencies, we have achieved levels of agreement above 90% when compared to the methodology proposed with the current methodology used to classify HIV-1 subtypes. The results demonstrate that Paraconsistents Artificial Neural Networks can serve as a promising tool of analysis. 2016 artículo científico 0001-3765 https://www.redalyc.org/articulo.oa?id=32744812027 es http://www.redalyc.org/revista.oa?id=327 Anais da Academia Brasileira de Ciências application/pdf Academia Brasileira de Ciências Anais da Academia Brasileira de Ciências (Brasil) Num.1 Vol.88 |
| title | Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy |
| topic | Multidisciplinaria (Ciencias Naturales y Exactas) HIV genotyping pattern recognition paraconsistent logic Artificial Neural Networks |
| url | https://www.redalyc.org/articulo.oa?id=32744812027 |