{Reference Type}: Journal Article
{Title}: A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions.
{Author}: Bandyopadhyay S;Ray S;Mukhopadhyay A;Maulik U;
{Journal}: Brief Bioinform
{Volume}: 16
{Issue}: 5
{Year}: Sep 2015
{Factor}: 13.994
{DOI}: 10.1093/bib/bbu041
{Abstract}: The computational or in silico approaches for analysing the HIV-1-human protein-protein interaction (PPI) network, predicting different host cellular factors and PPIs and discovering several pathways are gaining popularity in the field of HIV research. Although there exist quite a few studies in this regard, no previous effort has been made to review these works in a comprehensive manner. Here we review the computational approaches that are devoted to the analysis and prediction of HIV-1-human PPIs. We have broadly categorized these studies into two fields: computational analysis of HIV-1-human PPI network and prediction of novel PPIs. We have also presented a comparative assessment of these studies and proposed some methodologies for discussing the implication of their results. We have also reviewed different computational techniques for predicting HIV-1-human PPIs and provided a comparative study of their applicability. We believe that our effort will provide helpful insights to the HIV research community.