Comparative analysis and assessment of M. tuberculosis H37Rv protein-protein interaction datasets

Biochemical characterization of PE_PGRS61 family protein of Mycobacterium tuberculosis H37Rv reveals the binding ability to fibronectin

Objective(s): The periodic binding of protein expressed by Mycobacterium tuberculosis H37Rv with the host cell receptor molecules i.e. fibronectin (Fn) is gaining significance because of its adhesive properties.  The genome sequencing of M. tuberculosis H37Rv revealed that the proline-glutamic (PE) proteins contain polymorphic GC-rich repetitive sequences (PGRS) which have clinical importance i...

Construction and Analysis of Tissue-Specific Protein-Protein Interaction Networks in Humans

We have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. This network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

Potency of Mangosteen Pericarp Extract to Inhibit 38-kDa and Ag85 Protein Secretion by Mycobacterium tuberculosis H37Rv

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. The α-mangostin in mangosteen pericarp extract can inhibit M. tuberculosis growth. This study examined the potency of α-mangostin in mangosteen pericarp extract to inhibit 38-kDa and Ag85 protein secretion from M. tuberculosis H37Rv. The samples used in this study were divided into three independent variable groups...

Computational Studies of Host-Pathogen Protein-Protein Interactions—A case study of the H. sapiens — M. tuberculosis H37Rv system

Prediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks

Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...