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.
abstract: 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 Artificial Neural Networks, seated in Paraconsistent Annotated Logic Et 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.
authors.affiliation: Instituto Oscar Freire - Medicina Legal, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: Paulo C C
authors.initials: PC
authors.lastname: dos Santos
authors.affiliation: Instituto de Estudos Avançados, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: Helder F S
authors.initials: HF
authors.lastname: Lopes
authors.affiliation: Laboratório de Investigação Médica em Dermatologia e Imunodeficiência, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: Rosana
authors.initials: R
authors.lastname: Alcalde
authors.affiliation: Laboratório de Investigação Médica em Dermatologia e Imunodeficiência, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: Cláudio R
authors.initials: CR
authors.lastname: Gonsalez
authors.affiliation: Instituto de Estudos Avançados, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: Jair M
authors.initials: JM
authors.lastname: Abe
authors.affiliation: Instituto Oscar Freire - Medicina Legal, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: Luis F
authors.initials: LF
authors.lastname: Lopez
mesh_terms: D023241:Antiretroviral Therapy, Highly Active; D024882:Drug Resistance, Viral / Q000235:genetics*; D015497:HIV-1 / Q000145:classification / Q000187:drug effects / Q000235:genetics*; D006801:Humans; D009154:Mutation / Q000235:genetics*; D016571:Neural Networks, Computer; D014779:Virus Replication / Q000235:genetics*