Selection of Multi-Drug Targets against Drug-Resistant XDR1219 Using the Hyperbolic Mapping of the Protein Interaction Network.

Tuberculosis remains the leading cause of death from a single pathogen. On the other hand, antimicrobial resistance (AMR) makes it increasingly difficult to deal with this disease. We present the hyperbolic embedding of the protein interaction network (mtbPIN) of resistant strain (MTB XDR1219) to determine the biological relevance of its latent geometry.

Construction of a comprehensive protein-protein interaction map for multi drug resistant klebsiella pneumoniae to identify drug targets: A computational approach.

Klebsiella pneumoniae is an encapsulated rod-shaped, Gram-negative microbe that can form biofilm. It is an opportunistic Enterobacter usually involved in nosocomial infection, conferring resistance to almost all antibiotics and hence become therapeutically challenging. In the current study, the Protein Interaction Network (PIN) of MDR K.

Identification of potent compounds against SARs-CoV-2: An in-silico based drug searching against Mpro.

The worldwide pandemic of coronavirus disease 2019 (COVID-19) along with the various newly discovered major SARS-CoV-2 variants, including B.1.1.

Comparative proteome-wide study for in-silico identification and characterization of indispensable hypothetical proteins of food borne-pathogen Campylobacter jejuni (CJJ) by subtractive genomics approach.

Campylobacter jejuni (CJJ) is a source of bacterial foodborne diarrhea globally. Mostly found prevalent in children in the developing countries that may lead to mortality. The upsurge in antimicrobial resistance is causing hindrance in the treatment, as highlighted by CDC and WHO.

Protein Integrated Network Analysis to Reveal Potential Drug Targets Against Extended Drug-Resistant Mycobacterium tuberculosis XDR1219.

The reconstruction and analysis of the protein-protein interaction (PPI) network is a powerful approach to understand the complex biological and molecular functions in normal and disease states of the cell. The interactome of most organisms is largely unidentified except some model organisms. The current study focused on the construction of PPI network for the human pathogen Mycobacterium tuberculosis (MTB)-resistant strain XDR1219 using computational methods.

Identification of glucosyl-3-phosphoglycerate phosphatase as a novel drug target against resistant strain of Mycobacterium tuberculosis (XDR1219) by using comparative metabolic pathway approach.

Tuberculosis (TB) is a major global health challenge. It has been afflicting human for thousands of years and is still severely affecting a huge population. The etiological agent of the disease is Mycobacterium tuberculosis (MTB) that survives in the human host in latent, dormant, and non-replicative state by evading the immune system.