Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320516 | Artificial Intelligence in Medicine | 2013 | 11 Pages |
Abstract
Our results suggest possible applications of TNBN for studying drug-mutation and mutation-mutation networks in the context of antiretroviral therapy, with direct impact on the clinical management of patients under antiretroviral therapy. This opens new horizons for predicting HIV mutational pathways in immune selection with relevance for antiretroviral drug development and therapy plan.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Pablo Hernandez-Leal, Alma Rios-Flores, Santiago Ávila-Rios, Gustavo Reyes-Terán, Jesus A. Gonzalez, Lindsey Fiedler-Cameras, Felipe Orihuela-Espina, Eduardo F. Morales, L. Enrique Sucar,