ABSTRACT
Despite the wide medical importance of serine protease inhibitors, many of kazal type proteins are still to be explored. These thrombin inhibiting proteins are found in the digestive system of hematophagous organisms mainly Arthropods. We studied one of such protein i.e. Kazal type-1 protein from sand-fly Phlebotomus papatasi as its structure and interaction with thrombin is unclear. Initially, Dipetalin a kazal-follistasin domain protein was run through PSI-BLAST to retrieve related sequences. Using this set of sequence a phylogenetic tree was constructed, which identified a distantly related kazal type-1 protein. A three-dimensional structure was predicted for this protein and was aligned with Rhodniin for further evaluation. To have a comparative understanding of it's binding at the thrombin active site, the aligned kazal model-thrombin and rhodniin-thrombin complexes were subjected to molecular dynamics simulations. Dynamics analysis with reference to main chain RMSD, H-chain residue RMSF and total energy showed rhodniin-thrombin complex as a more stable system. Further, the MM/GBSA method was applied that calculated the binding free energy (ΔGbinding) for rhodniin and kazal model as -220.32kcal/Mol and -90.70kcal/Mol, respectively. Thus, it shows that kazal model has weaker bonding with thrombin, unlike rhodniin.
Subject(s)
Antithrombins/chemistry , Insect Proteins/chemistry , Insect Proteins/genetics , Serine Proteinase Inhibitors/chemistry , Serine Proteinase Inhibitors/genetics , Amino Acid Sequence , Animals , Catalytic Domain , Diptera , Insect Proteins/metabolism , Molecular Dynamics Simulation , Phylogeny , Protein Conformation , Sequence Homology, Amino Acid , Structure-Activity RelationshipABSTRACT
Alzheimer's disease is an age related disorder and is defined to be progressive, irreversible neurodegenerative disease. The potential targets which are associated with the Alzheimer's disease are cholinesterases, N-methyl-D-aspartate receptor, Beta secretase 1, Pregnane X receptor (PXR) and P-glycoprotein (Pgp). P-glycoprotein is a member of the ATP binding cassette (ABC) transporter family, which is an important integral of the blood-brain, blood-cerebrospinal fluid and the blood-testis barrier. Reports from the literature provide evidences that the up-regulation of the efflux pump is liable for a decrease in ß -amyloid intracellular accumulation and is an important hallmark in Alzheimer's disease (AD). Thus, targeting ß-amyloid clearance by stimulating Pgp could be a useful strategy to prevent Alzheimer's advancement. Currently available drugs provide limited effectiveness and do not assure to cure Alzheimer's disease completely. On the other hand, the current research is now directed towards the development of synthetic or natural based therapeutics which can delay the onset or progression of Alzheimer's disease. Since ancient time medicinal plants such as Withania somnifera, Bacopa monieri, Nerium indicum have been used to prevent neurological disorders including Alzheimer's disease. Till today around 125 Indian medicinal plants have been screened on the basis of ethnopharmacology for their activity against neurological disorders. In this paper, we report bioactives from natural sources which show binding affinity towards the Pgp receptor using ligand based pharmacophore development, virtual screening, molecular docking and molecular dynamics simulation studies for the bioactives possessing acceptable ADME properties. These bioactives can thus be useful to treat Alzheimer's disease.
Subject(s)
ATP Binding Cassette Transporter, Subfamily B, Member 1/drug effects , ATP Binding Cassette Transporter, Subfamily B, Member 1/metabolism , Alzheimer Disease/drug therapy , Alzheimer Disease/metabolism , Amyloid beta-Peptides/metabolism , Biological Products/pharmacology , Computer Simulation , High-Throughput Screening Assays , Humans , Ligands , Models, Molecular , Molecular Docking Simulation , Molecular Dynamics Simulation , Pharmacogenetics , Receptors, Drug/chemistry , Receptors, Drug/drug effectsABSTRACT
Aurora kinases belong to family of highly conserved serine/threonine protein kinases that are involved in diverse cell cycle events and play a major role in regulation of cell division. Abnormal expression of Aurora kinases may lead to cancer; hence, these are considered as a potential target in cancer treatment. In this research article, we identified three novel Aurora A inhibitors using modern computational tools. A four-point common 3D pharmacophore hypothesis of Aurora A (AurA) inhibitors was developed using a diverse set of 55 thienopyrimidine derivatives. A three-dimensional quantitative structure-activity relationship (3D-QSAR) study was carried out using atom-based alignment of diverse set of 55 molecules to evaluate the structure- activity relationships. Docking and 3D-QSAR studies were performed with the 3D structure of AurA to evaluate the generated pharmacophore. The pharmacophore model and 3D-QSAR results complemented the results of our docking study. The pharmacophore hypothesis, which yields the best results, was used to screen the Zinc 'clean drug-like' database. Various database filters such as 3D-arrangement of pharmacophoric features, predicted activity and binding interaction score were used to retrieve hits having potential AurA inhibition activity.
