School Of Basic And Applied Sciences

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    In silico study of flavonoids as DPP-4 and α-glucosidase inhibitors
    (Bentham Science Publishers B.V., 2018) Kaur, J.; Singla, Ramit; Jaitak, Vikas
    Background: Diabetes being among the most prevalent disease is being studied widely to achieve most potent drug with lesser side-effects. Numerous targets have been explored and several drugs have been developed to combat type-2 diabetes. Worldwide scenario depicts an increase in the number of diabetics at an alarming rate. Due to this critical need in the current scenario, the focus has been shifted to natural products. Amongst which flavonoids have been extensively studied for their anti-diabetic potential. Among various targets inhibition of DPP-4, ?-glucosidase arose as an advantageous methodology for the management of type-2 diabetes. DPP-4 inhibitor helps to maintain the insulin levels in the body and ?-glucosidase inhibitor aids in the control of the postprandial glycemia. Methods: In the present study, the molecular modeling of 155 flavonoids has been performed using GLIDE against Dipeptidyl Peptidase-4 (DPP-4) (PDB ID:2ONC) and ?-glucosidase (PDB ID: 2QMJ) so as to achieve lead compounds that can be further used to develop a new drug. Results: Rutin and Theaflavin-3,3'-di-O-gallate were observed to possess the best docking score for ?-glucosidase and DPP-4 respectively. Conclusions: The top scoring flavonoids show promising results, but further studies are required to be carried out including the pharmacophore mapping, SAR and QSAR studies. The results illustrated that the hydrogen bonding plays a crucial role in the binding and positioning of the molecules into the active site. Further, the rescoring of the docking values mentioned as MMGB/SA also reconfirmed that these compounds show favorable results. ? 2018 Bentham Science Publishers.
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    Investigating regulatory signatures of human autophagy related gene 5 (ATG5) through functional in silico analysis
    (Elsevier B.V., 2016) Vij, Avni; Randhawa, Rohit; Parkash, Jyoti; Changotra, Harish; Vij, A.; Randhawa, R.; Parkash, J.; Changotra, H.
    Autophagy is an essential, homeostatic process which removes damaged cellular proteins and organelles for cellular renewal. ATG5, a part of E3 ubiquitin ligase-like complex (Atg12-Atg5/Atg16L1), is a key regulator involved in autophagosome formation - a crucial phase of autophagy. In this study, we used different in silico methods for comprehensive analysis of ATG5 to investigate its less explored regulatory activity. We have predicted various physico-chemical parameters and two possible transmembrane models that helped in exposing its functional regions. Twenty four PTM sites and 44 TFBS were identified which could be targeted to modulate the autophagy pathway. Furthermore, LD analysis identified 3 blocks of genotyped SNPs and 2 deleterious nsSNPs that may have damaging impact on protein function and thus could be employed for carrying genome-wide association studies. In conclusion, the information obtained in this study could be helpful for better understanding of regulatory roles of ATG5 and provides a base for its implication in population-based studies. ? 2016 Elsevier B.V.
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    Homology modeling of chemokine CCR7, molecular docking, and in vitro studies evidenced plausible immunotherapeutic anticancer natural compounds
    (Birkhauser Boston, 2016) Singh, Pushpendra; Singh, Ravi Shankar; Rani, Alka; Bast, Felix
    The chemokine receptor 7 is a G-protein coupled, receptors coordinates the migration of cancer cells towards CCL19 and CCL21 constitutively expressed lymphatic organs. Chemokine receptor 7 facilitates cancer progression by generating new lymphatic vessels that serve as conduits for tumor dissemination to lymph nodes. In this context, chemokine receptor 7 inhibitor recently caught an attention for cancer cell growth inhibitor. The 3-D crystalline structure of chemokine receptor 7 not available in protein data bank (PDB), first we predicted the 3-D structure of chemokine receptor 7 and then performed receptor-based molecular docking of chemokine receptor 7 against natural and marine compounds. Semiquantitative polymerase chain reaction (PCR) and quantitative real-time PCR were performed for mRNA expression of chemokine receptor 7 and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) used as internal control. The best-docked compounds have been selected for chemokine receptor 7 inhibitors by optimal energy value (Gscore), types of interactions, and conformations. CID6441009, 42607750, 72276, 6711419, 56835050, 65064, 23663412, 72277, 643668, 54679285 compound have a better binding energy ?11.35, ?10.51, ?10.16, ?9.98, ?9.95, ?9.86, ?9.83, ?9.57, ?9.47, and ?9.45 respectively against chemokine receptor 7. Protein?ligand interactions profile highlighted that amino acid Glu45, Lys50, Arg54, Lys57, Trp114, Met260, Glu205, Gln227, Gln276, and Asp309 involved in the hydrophobic, hydrogen bonding, and ?-? stacking interactions play a central role at the active site. Moreover, treatment with the Epigallocatechin gallate led to down-regulation of mRNA expression of chemokine receptor 7 in HepG2 and PC3 cells. This molecular docking study recapitulates the docking free energy, protein?ligands interactions profile, pharmacokinetic, and the pharmacodynamic parameter of lead molecules, which are extremely helpful to improve the activity of natural and marine compounds against chemokine receptor 7. ? 2016, Springer Science+Business Media New York.