RESUMEN
Fusion inhibitors are antiretroviral (ARV) drugs that prevent HIV-1 entry into host cells. Enfuvirtide (ENF) is the only ARV drug marketed in this class and, like other HIV drugs, it has been associated with the emergence and selection of therapeutic-resistant HIV-1 strains. The aims of this work were to develop a computational tool capable of identifying and classifying mutations associated with resistance to Enfuvirtide and to evaluate the prevalence of these mutations among the HIV-1 sequences deposited in public databases. The HIVfird (HIV-1 fusion inhibitor resistance detector) was developed using the PHP programming language, using 30 DNA bases obtained from the HIV-1 HXB2 gp41 protein as a reference. To assess the level of resistance in HIV-1 populations, sequences were retrieved from the Los Alamos National Laboratory (LANL) database. The HIVfird is hosted at www.hivfird.ics.ufba.br, fully functional and available for public use. Twenty-five amino acid substitutions and 15 combinations were found to be associated with some level of resistance to ENF. These mutations are located at positions 36-45 of gp41, with 36, 38, 43, and 44 having the greatest diversity and frequency of variations associated with drug resistance. Resistance mutations were found in 3.16% and 4.67% of the circulating HIV-1 isolates in the world and Brazil, respectively. Subtype B showed a significantly higher ENF resistance rate (4.9%) compared to other genetic forms, while subtype C presented the lowest rate (0.9%). We present here HIVfird, an online tool that might assist in the therapeutic management of HIV-1 patients with multiple drug failure and in population-based analysis of drug resistance.