Computational modeling and drug designing of Lipoprotein Lipase (LPL) involved in ischemic stroke.

Homology modeling and flexible docking of Lipoprotein Lipase has been studied in silico approach. Blast result was found to have similarity with Lipoprotein Lipase of 83% identity with 1LPA. Active site of LPL protein was identified by CASTP. Large potential drugs were designed for identifying molecules that can likely bind to protein target of interest. The different drug derivatives designed were used for docking with the generated structure, among the 10 derivatives designed, 3rd derivative showed highest docking result. The drug derivatives were docked to the protein by hydrogen bonding interactions and these interactions play an important role in the binding studies. Our investigations may be helpful for further studies.

Molecular identification of bacteria isolated from meat sample.

Contamination of food with bacteria moulds, yeasts, viruses, protozoa or parasites could occur within food premises and result in unfit or unsafe food. Microbial contamination is frequently the result of ignorance, carelessness or negligence by the food operator, or due to lack of space or inappropriate design of food areas. In this work we have identified meat contaminating bacteria through molecular techniques. The bacterium identified through morphological and biochemical tests was sporosarcina halofila. This was confirmed after amplification of genomic DNA with suitable primers. Plasmid was isolated and it was identified to be 11kb. PCR amplified product was 100bp and primers were designed accordingly to the suitable organism.