Leprosy is an infectious disease caused by Mycobacterium leprae. M. leprae has undergone a major reductive evolution leaving a minimal
set of functional genes for survival. It remains noncultivable. As M. leprae develops resistance against most of the drugs, novel drug targets
are required in order to design new drugs. As most of the essential genes mediate several biosynthetic and metabolic pathways, the pathway
predictions can predict essential genes. We used comparative genome analysis of metabolic enzymes in M. leprae and H. sapiens using
KEGG pathway database and identified 179 nonhomologues enzymes. On further comparison of these 179 nonhomologous enzymes to the
list of minimal set of 48 essential genes required for cellwall biosynthesis of M. leprae reveals eight common enzymes. Interestingly, six of
these eight common enzymes map to that of peptidoglycan biosynthesis and they all belong to Mur enzymes. The machinery for
peptidoglycan biosynthesis is a rich source of crucial targets for antibacterial chemotherapy and thus targeting these enzymes is a step
towards facilitating the search for new antibiotics.
Identifying the interactions between drugs and target proteins is a key step in drug discovery. This not only aids to understand the disease mechanism, but also helps to identify unexpected therapeutic activity or adverse side effects of drugs. Hence, drug-target interaction prediction becomes an essential tool in the field of drug repurposing. The availability of heterogeneous biological data on known drug-target interactions enabled many researchers to develop various computational methods to decipher unknown drug-target interactions. This review provides an overview on these computational methods for predicting drug-target interactions along with available webservers and databases for drug-target interactions. Further, the applicability of drug-target interactions in various diseases for identifying lead compounds has been outlined.
Dengue is an important public health problem in tropical and subtropical regions of the world. Neither vaccine nor an antiviral medication is available to treat dengue. This insists the need of drug discovery for dengue. In order to find a potent lead molecule, RNA-dependent RNA polymerase which is essential for dengue viral replication is chosen as a drug target. As Quercetin showed antiviral activity against several viruses, quercetin derivatives developed by combinatorial library synthesis and mined from PubChem databases were screened for a potent anti-dengue viral agent. Our study predicted Quercetin 3-(6″-(E)-p-coumaroylsophoroside)-7-rhamnoside as a dengue polymerase inhibitor. The results were validated by molecular dynamics simulation studies which reveal water bridges and hydrogen bonds as major contributors for the stability of the polymerase-lead complex. Interactions formed by this compound with residues Trp795, Arg792 and Glu351 are found to be essential for the stability of the polymerase-lead complex. Our study demonstrates Quercetin 3-(6″-(E)-p-coumaroylsophoroside)-7-rhamnoside as a potent non-nucleoside inhibitor for dengue polymerase.
Salmonella typhimurium is a Gram-negative bacterium responsible for human diseases including gastroenteritis and typhoid fever and its quorum sensing system is currently being intensively researched. Molecular modeling and binding site analysis of SdiA homolog, a putative quorum sensor of the LuxR family and responsible for S. typhimurium pathogenecity revealed a high structural homology of their active site with three other LuxR family proteins LasR from Pseudomonas aeruginosa, TraR from Agrobacterium tumifaciens and CviR from Chromobacterium violaceum. The results show that all the LuxR family proteins harbor three conserved amino acids Tryptophan (W67) and Aspartic acid (D80) for formation of hydrogen bridges and Tyrosine (Y71) for the hydrophobic interactions (corresponding to their position in S. typhimurium SdiA) with acyl homoserine lactones (AHL)-dependent transcriptional regulators. However, in addition to the above conserved residues, Arginine (R60) also plays an important role in S. typhimurium SdiA binding with its AHL auto inducers and the complex is found to be stronger because of the interactions between nitrogen atoms of Arginine with the carbonyl oxygen in the lactone ring of AHL. The specific binding patterns would be helpful in guiding both enzymatic studies as well as design of specific inhibitors to overcome S. typhimurium pathogenecity.
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