Spectroscopic evaluation of synthesized 5β-dihydrocortisol and 5β-dihydrocortisol acetate binding mechanism with human serum albumin and their role in anticancer activity

Our study focus on the biological importance of synthesized 5β-dihydrocortisol (Dhc) and 5β-dihydrocortisol acetate (DhcA) molecules, the cytotoxic study was performed on breast cancer cell line (MCF-7) normal human embryonic kidney cell line (HEK293), the IC₅₀ values for MCF-7 cells were 28 and 25 μM, respectively, whereas no toxicity in terms of cell viability was observed with HEK293 cell line. Further experiment proved that Dhc and DhcA induced 35.6 and 37.7% early apoptotic cells and 2.5, 2.9% late apoptotic cells, respectively, morphological observation of cell death through TUNEL assay revealed that Dhc and DhcA induced apoptosis in MCF-7 cells. The complexes of HSA–Dhc and HSA–DhcA were observed as static quenching, and the binding constants (K) was 4.7 ± .03 × 10⁴ M^?1 and 3.9 ± .05 × 10⁴ M^?1_, and their binding free energies were found to be ?6.4 and ?6.16 kcal/mol, respectively. The displacement studies confirmed that lidocaine 1.4 ± .05 × 10⁴ M^?1 replaced Dhc, and phenylbutazone 1.5 ± .05 × 10⁴ M^?1 replaced by DhcA, which explains domain I and domain II are the binding sites for Dhc and DhcA. Further, FT-IR, synchronous spectroscopy, and CD results revealed that the secondary structure of HSA was altered in the presence of Dhc and DhcA. Furthermore, the atomic force microscopy and transmission electron microscopy showed that the dimensions like height and molecular size of the HSA–Dhc and HSA–DhcA complex were larger compared to HSA alone. Detailed analysis through molecular dynamics simulations also supported greater stability of HSA–Dhc and HSA–DhcA complexes, and root-mean-square-fluctuation interpreted the binding site of Dhc as domain IB and domain IIA for DhcA. This information is valuable for further development of steroid derivative with improved pharmacological significance as novel anti-cancer drugs.     

Mutations in exons 10 and 11 of human glucokinase result in conformational variations in the active site of the structure contributing to poor substrate binding – explains hyperglycemia in type 2 diabetic patients

Mutations in the glucokinase (GK) gene play a critical role in the establishment of type 2 diabetes. In our earlier study, R308K mutation in GK in a clinically proven type 2 diabetic patient showed, structural and functional variations that contributed immensely to the hyperglycemic condition. In the extension of this work, a cohort of 30 patients with established type 2 diabetic condition were chosen and the exons 10 and 11 of GK were PCR-amplified and sequenced. The sequence alignment showed A379S, D400Y, E300A, E395A, E395G, H380N, I348N, L301M, M298I, M381G, M402R, R308K, R394P, R397S, and S398R mutations in 12 different patients. The structural analysis of these mutated GKs, showed a variable number of β-α-β units, hairpins, β-bulges, strands, helices, helix–helix interactions, β-turns, and γ-turns along with the RMSD variations when compared to wild-type GK. Molecular modeling studies revealed that the substrate showed variable binding orientations and could not fit into the active site of these mutated structures; moreover, it was expelled out of the conformations. Therefore, these structural variations in GK due to mutations could be one of the strongest reasons for the hyperglycemic levels in these type 2 diabetic patients.     

Structural basis of pesticide detection by enzymatic biosensing: a molecular docking and MD simulation study

Designing of rapid, facile, selective, and cost-effective biosensor technology is a growing area for the detection of various classes of pesticides. The biosensor with these features can be achieved only through the various bio-components using different transducers. This study, therefore, focuses on the usage of molecular docking, specificity tendencies, and capabilities of proteins for the detection of pesticides. Accordingly, the four transducers, acetylcholinesterase (ACH), cytochromes P450 (CYP), glutathione S-transferase (GST), and protein kinase C (PKC) were selected based on their applications including neurotransmitter, metabolism, detoxification enzyme, and protein phosphorylation. Then after molecular docking of the pesticides, fenobucarb, dichlorodiphenyltrichloroethane (DDT), and parathion onto each enzyme, the conformational behavior of the most stable complexes was further analyzed using 50 ns Molecular Dynamics (MD) simulations carried out under explicit water conditions. In the case of protein kinase C (PKC) and cytochrome P450 3A4 enzyme (CYP), the fenobucarb complex showed the most suitable combination of free energy of binding and inhibition constant ?4.42 kcal/mol (573.73 μM) and ?5.1 kcal/mol (183.49 μM), respectively. Parathion dominated for acetylcholinesterase (ACH) with ?4.57 kcal/mol (448.09 μM) and lastly dichlorodiphenyltrichloroethane for glutathione S-transferase (GST), ?5.43 kcal/mol (103.88 μM). The RMSD variations were critical for understanding the impact of pesticides as they distinctively influence the energetic attributes of the proteins. Overall, the outcomes from the extensive analysis provide an insight into the structural features of the proteins studied, thereby highlighting their potential use as a substrate in biorecognition sensing of pesticide compounds.     

Does tetracycline bind helix 2 of prion? An integrated spectroscopical and computational study of the interaction between the antibiotic and α helix 2 human prion protein fragments

We demonstrate here that tetracycline (TC) can strongly interact (KD' = 189 +/- 7 nM) with model peptides derived from the C-terminal globular domain of the prion protein, hPrP [173-195], and that interaction concerns residues within the C-terminal half of the helix 2, a short region previously indicated as endowed with ambivalent conformational behavior and implicated in PrP conversion to the beta-sheet-rich, infective scrapie variant. Data have been confirmed by binding studies with the N-terminal truncated 180-195 variant that displays a dissociation constant of 483 +/- 30 nM. Remarkably, TC does not influence the structure of the N-terminally fluoresceinated peptides that both show alpha-helical conformations. Docking calculations and molecular dynamics simulations suggest a direct, strong interaction of the antibiotic with exposed side chain functional groups of threonines 190-193 on the solvent-exposed surface of helix 2.     

Homology modeling of human serum paraoxonase1 and its molecular interaction studies with aspirin and cefazolin

Human serum paraoxonase1 (HuPON1) belongs to the family of A-esterases (EC.3.1.8.1). It is associated with HDL particle and prevents atherosclerosis by cleaving lipid hydroperoxides and other proatherogenic molecules of oxidized low density lipoproteins (LDL). Since the precise structure of HuPON1 is not yet available, the structure-function relationship between HuPON1 and activators/inhibitors is still unknown. Therefore, a theoretical model of HuPON1 was generated using homology modelling and precise molecular interactions of an activator aspirin and an inhibitor cefazolin with PON1 were studied using Autodock software. The ligand binding residues were found to be similar to the predicted active site residues. Both cefazolin and aspirin were found to dock in the vicinity of the predicted active sites of PON1; cefazolin bound at residues N166, S193 and Y71, while aspirin at residues N309, I310 and L311. Binding region in the PON1 by prediction (3D2GO server) and docking studies provide useful insight into mechanism of substrate and inhibitor binding to the enzyme active site.     

Molecular dynamics and molecular docking studies on E166A point mutant,R274N/R276N double mutant,and E166A/R274N/R276N triple mutant forms of class A β-lactamases

Bacterial resistance to β-lactams antibiotics is a serious threat to human health. The most common cause of resistance to the β-lactams is the production of β-lactamase that inactivates β-lactams. Specifically, class A extended-spectrum β-lactamase produced by antibiotic resistant bacteria is capable of hydrolyzing extended-spectrum Cephalosporins and Monobactams. Mutations in class A β-lactamases play a crucial role in substrate and inhibitor specificity. In this present study, the E166A point mutant, R274N/R276N double mutant, and E166A/R274N/R276N triple mutant class A β-lactamases are analyzed. Molecular dynamics (MD) simulations are done to understand the consequences of mutations in class A β-lactamases. Root mean square deviation, root mean square fluctuation, radius of gyration, solvent accessibility surface area, hydrogen bond, and essential dynamics analysis results indicate notable loss in stability for mutant class A β-lactamases. MD simulations of native and mutant structures clearly confirm that the substitution of alanine at the position of 166, Asparagine at 274 and 276 causes more flexibility in 3D space. Molecular docking results indicate the mutation in class A β-lactamases which decrease the binding affinity of Cefpirome and Ceftobiprole which are third and fifth generation Cephalosporins, respectively. MD simulation of Ceftobiprole-native and mutant type Class A β-lactamases complexes reveal that E166A/R274N/R276N mutations alter the structure and notable loss in the stability for Ceftobirole-mutant type Class A β-lactamases complexes. Ceftobiprole is currently prescribed for patients with serious bacterial infections; this phenomenon is the probable cause for the effectiveness of Ceftobiprole in controlling bacterial infections.     

Molecular dynamics simulation and molecular docking studies of 1,4-Dihydropyridines as P-glycoprotein’s allosteric inhibitors

P-glycoprotein (P-gp) is a main factor contributing to multidrug resistance. The effect of this transporter protein on limiting the effectiveness of chemotherapy has been shown by various studies. In a previous report, we synthesized some 14-dihydropyridine (DHP) derivatives as inhibitors of human P-gp. In the present study, a computational approach has been exploited to reveal the main interactions between DHPs and P-gp. In order to do this, homology modeling was performed to obtain a model of the protein. Then, molecular dynamics simulation was used to refine the constructed model of P-gp in the presence of the lipids bilayer. Model validation was performed with several tools. Finally, molecular docking followed by MD simulation of ligand–protein complex was employed to elucidate the binding mode and the dynamical changes of protein with/without DHPs bound. The results emphasized that interaction of the residues Gln912, Ser909, Arg905, Ser474, Val472 with DHPs play a crucial role in the inhibitory of these ligands and this was in a relatively good accordance with the results reported in the experimental studies.     

Molecular dynamics simulation,binding free energy calculation and molecular docking of human D-amino acid oxidase (DAAO) with its inhibitors

Schizophrenia is a mental illness; most affected people live in developing countries, and neither appropriate treatment nor commercial drugs are currently available. One possibility is to inhibit human-d-amino acid oxidase (h-DAAO). In this study, molecular dynamic simulations of the monomer, dimer and tetramer forms of h-DAAO complexed with the inhibitor 3-hydroxyquinolin-2(1H)-one(2) were performed. Seven residues, Leu51, Gln53, Leu215, Tyr228, Ile230, Arg283 and Gly313, were identified as essential for interacting with the inhibitor. Molecular docking of h-DAAO with pyrrole, quinoline and kojic acid derivatives, representing 69 known or potential h-DAAO inhibitors, was also performed. The results indicated that the activity of the inhibitor can be improved by modifying the compounds to have a substituent group capable of interacting with the side chain of Tyr228. Van der Waals interactions of the inhibitor with the hydrophobic pocket of h-DAAO and electrostatic interactions or H-bonds with Arg283 and Gly313 were important elements in determining the efficiency of the inhibitor. These results provide information on the interaction between h-DAAO and its inhibitors at the molecular level and can aid in the design of novel inhibitors against h-DAAO for new drug development in the treatment of schizophrenia.     

分子伴侣HdeA与底物蛋白SurA作用机制的模拟研究

分子伴侣HdeA与底物蛋白间的相互作用可帮助底物蛋白复性,这是肠道致病菌得以在酸性环境中幸存的重要原因之一.为探究HdeA发挥伴侣活性的作用机制,本研究采用分子对接和分子动力学的方法,模拟了HdeA与底物蛋白SurA间的相互作用,计算了二者的结合自由能.通过分析HdeA-SurA复合物体系的作用模式、氢键作用以及能量分解的结果,确定了HdeA与底物蛋白SurA结合时发挥重要作用的关键氨基酸残基.该研究结果为以后采用实验手段探究HdeA与底物蛋白之间的作用提供了重要的理论参考,同时为今后设计与开发HdeA的抑制剂提供了理论指导依据.     

3D QSAR pharmacophore-based virtual screening for the identification of potential inhibitors of tyrosinase

Abstract

Tyrosinase plays an important role in melanin biosynthesis and protects skin against ultraviolet radiations. Functional deficiency of tyrosinase results in serious dermatological diseases. Tyrosinase also participates in neuromelanin formation in the human brain, which leads to neurodegeneration resulting in Parkinson’s disease. In fruits and vegetables, tyrosinase plays a critical role in senescence, causing undesired browning that results in faster deterioration and shorter shelf lines. The only commercially available tyrosinase is mushroom tyrosinase and it shows the highest homology to the mammalian tyrosinase. Although kojic acid is currently used as a tyrosinase inhibitor, they have serious side effects such as dermatitis, carcinogenesis and hepatotoxicity. Therefore, in order to develop a more active and safer tyrosinase inhibitor, 3D QSAR pharmacophore models were generated based on experimentally known inhibitors. The pharmacophore model, Hypo1, was developed with a large cost difference, high correlation coefficient and low RMS deviation. Hypo1 showed a good spatial arrangement; consisting of five-point features including two hydrogen bond acceptor, one hydrogen bond donor and two hydrophobic features. Hypo1 was further validated by cost analysis, test set and Fisher’s randomisation method. Hypo1 was used as a 3D query for screening the in-house drug-like databases, and the hits were further selected by applying ADMET, Lipinski’s rule of five and fit value criteria. To identify binding conformations, the obtained hits were subjected to molecular docking. Finally, molecular dynamics simulations revealed the appropriate binding modes of hit compounds. To conclude, we propose the final three hit compounds with new structural scaffolds as a virtual candidate as tyrosinase inhibitors.

Communicated by Ramaswamy H. Sarma