Prediction of Essential Proteins of using Integrative Bioinformatics and Systems Biology Approach: Unveiling New Avenues for Drug Discovery.

is an opportunistic multidrug-resistant bacterial pathogen responsible for various health care-associated infections. The prediction of proteins that are essential for the survival of bacterial pathogens can greatly facilitate the drug development and discovery pipeline toward target identification. To this end, the present study reports a comprehensive computational approach integrating bioinformatics and systems biology-based methods to identify essential proteins of involved in vital processes.

Novel Target Exploration from Hypothetical Proteins of MGH 78578 Reveals a Protein Involved in Host-Pathogen Interaction.

The opportunistic pathogen is a causative agent of several hospital-acquired infections. It has become resistant to a wide range of currently available antibiotics, leading to high mortality rates among patients; this has further led to a demand for novel therapeutic intervention to treat such infections. Using a series of analyses, the present study aims to explore novel drug/vaccine candidates from the hypothetical proteins of .

Integrated transcriptome interactome study of oncogenes and tumor suppressor genes in breast cancer.

Breast cancer is the leading cause for mortality among women worldwide. Dysregulation of oncogenes and tumor suppressor genes is the major reason for the cause of cancer. Understanding these genes will provide clues and insights about their regulatory mechanism and their interplay in cancer.

Functional assignment for essential hypothetical proteins of Staphylococcus aureus N315.

Staphylococcus aureus, the causative agent of nosocomial infections worldwide, has acquired resistance to almost all antibiotics stressing the need to develop novel drugs against this pathogen. In S. aureus N315, 302 genes have been identified as essential genes, indispensable for growth and survival of the pathogen.