Computational analysis of HIV-1 resistance based on gene expression profiles and the virus-host interaction network.

Based on continuous health practices in the process of interaction between professionals, health care network, patient and family, with the home context as a reality of

The EgoNet algorithm comprises four steps: constructing background protein-protein interaction (PPI) network (PPIN) based on gene expression data and PPI data; extracting

In the current study, the construction and computational analysis of protein interaction networks (PINs) based on expression data of proteins involved in 10 major cancer

Como intermediários aparecem: os agentes financiadores o CNPq e o PADCT; Ivo Vencato, professor da UFSC, Central de Análises, que resolveu a estrutura; Valderes Drago, professor do

Using HIV-1 protein structures and experimental data, we evaluated the performance of individual and combined sequence-based methods in the prediction of HIV-1 intra- and

tuberculosis , for identification of index cases, for study of interaction between TB and infection with the human immuno- deficiency virus, for analysis of the behavior of MDR

By integrating gene expression signatures and somatic mutation data on a protein- protein interaction network, we show that the CRC recurrence phenotype involves the dysregulation

Table S1 The 1,460 proteins with both sequence and phenotype information retrieved from CYGD (the Comprehensive Yeast Genome Database) (Guldener U, Munsterkotter M, Kastenmuller