Shikhar Gupta

Inhibition of acetylcholinesterase by coumarins: The case of coumarin 106

In this contribution, from a coumarin library consisting of 29 compounds including natural and synthetic derivatives, an active acetylcholinesterase (AChE) inhibitor (coumarin 106) was found. This circumstance leaded us to continue with the pharmacological characterization of coumarin 106. The first study with the coumarin library was performed using a 96-microtiter well plate assay based on Ellmans reaction. Coumarins were assayed at 5 and 30 microM, and coumarin 106 was found the most active inhibitor at both concentrations. The follow-up analysis using kinetic studies demonstrated that coumarin 106 displays mixed-type AChE inhibition with a pIC(50)=4.97+/-0.09 and K(i)=2.36+/-0.17 microM. The ability of this molecule to interact with AChE was further confirmed through computational studies, in which a primary binding was proved to occur at the active gorge site, while a secondary binding was demonstrated at the peripheral anionic site. Also, coumarin 106 was shown to inhibit butyrylcholinesterase (BChE) with slightly lower potency (pIC(50)=4.56+/-0.06), and found to be non-toxic in Caco-2 cells. The combination of these findings makes coumarin 106 an attractive molecule for further investigation. This is the first report where AChE inhibitory activity has been associated with coumarin 106, and proof has been given of its convenience as a lead molecule.

Antiobesity and lipid lowering effects of Glycyrrhiza chalcones: experimental and computational studies.

Twelve flavonoids (1-12), isolated from Glycyrrhiza glabra roots were evaluated for their pancreatic lipase (PL) inhibitory activity in vitro. The structures of the isolated compounds were elucidated by spectroscopic methods. Amongst all the compounds 7, 8, 10 and 11 showed strong inhibition against PL with IC(50) values of 7.3 μM, 35.5 μM, 14.9 μM and 37.6 μM, respectively. Molecular docking studies on the most active compound 7 revealed that it binds with the key amino acid residues of the PL active site. In silico absorption, distribution, metabolism and excretion (ADME) parameters were also computed on the active compounds to determine their preliminary pharmacokinetic properties. Further, investigations were carried out to determine the antiobesity and lipid lowering effects of 7 and 10 in high fat diet (HFD) fed male SD rats. In the rats supplemented with compound 7 the body weight increase was only 23.2±3.6 g as compared to 64.2±0.5 g in the HFD control group while in the rats treated with compound 10 showed 23.2±3.6 g weight gain only. Compound 7 decreased the levels of plasma total cholesterol (TC) to 84.6±1.4 mg/dl and plasma total triglycerides (TG) to 128.8±6.0 mg/dl. Compound 10 also lowered the plasma TC and TG levels considerably. The results indicate the potential of the chalcone scaffold as a source of PL inhibitors for preventing obesity.

Discovery of dual binding site acetylcholinesterase inhibitors identified by pharmacophore modeling and sequential virtual screening techniques

Dual binding site acetylcholinesterase (AChE) inhibitors are promising for the treatment of Alzheimers disease (AD). They alleviate the cognitive deficits and AD-modifying agents, by inhibiting the β-amyloid (Aβ) peptide aggregation, through binding to both the catalytic and peripheral anionic sites, the so called dual binding site of the AChE enzyme. In this Letter, chemical features based 3D-pharmacophore models were developed based on the eight potent and structurally diverse AChE inhibitors (I-VIII) obtained from high-throughput in vitro screening technique. The best 3D-pharmacophore model, Hypo1, consists of two hydrogen-bond acceptor lipid, one hydrophobe, and two hydrophobic aliphatic features obtained by Catalyst/HIPHOP algorithm adopted in Discovery studio program. Hypo1 was used as a 3D query in sequential virtual screening study to filter three small compound databases. Further, a total of nine compounds were selected and followed on in vitro analysis. Finally, we identified two leads--Specs1 (IC(50)=3.279 μM) and Spec2 (IC(50)=5.986 μM) dual binding site compounds from Specs database, having good AChE enzyme inhibitory activity.

Dual Binding Site and Selective Acetylcholinesterase Inhibitors Derived from Integrated Pharmacophore Models and Sequential Virtual Screening

In this study, we have employed in silico methodology combining double pharmacophore based screening, molecular docking, and ADME/T filtering to identify dual binding site acetylcholinesterase inhibitors that can preferentially inhibit acetylcholinesterase and simultaneously inhibit the butyrylcholinesterase also but in the lesser extent than acetylcholinesterase. 3D-pharmacophore models of AChE and BuChE enzyme inhibitors have been developed from xanthostigmine derivatives through HypoGen and validated using test set, Fischers randomization technique. The best acetylcholinesterase and butyrylcholinesterase inhibitors pharmacophore hypotheses Hypo1_A and Hypo1_B, with high correlation coefficient of 0.96 and 0.94, respectively, were used as 3D query for screening the Zinc database. The screened hits were then subjected to the ADME/T and molecular docking study to prioritise the compounds. Finally, 18 compounds were identified as potential leads against AChE enzyme, showing good predicted activities and promising ADME/T properties.

3D-pharmacophore model based virtual screening to identify dual-binding site and selective acetylcholinesterase inhibitors

The formation of β-amyloid plaques in the brain is a key neurodegenerative event in Alzheimer’s disease (AD). Interestingly, research on acetylcholinesterase (AChE) enzyme has increased due to findings supporting this enzyme involvement in the β-amyloid peptide fibril formation during AD pathogenesis. In this investigation, chemical features based 3D pharmacophore models were developed from structurally diverse xanthostigmine derivatives, known inhibitors of AChE enzyme, using 3D-QSAR pharmacophore generation module in Discovery Studio2.5 (DS2.5). The constructed pharmacophore models for AChE inhibitors was further cross-validated using test set and Cat-Scramble methodology. The best quantitative pharmacophore model Hypo1, was used for screening the chemical databases of small compounds including Specs, NCI, and IBScreen, to identify the new compounds that are presumably able to act as dual-binding site AChE inhibitors. The screened virtual hits were then subjected to the Lipinski’s rule of five, blood–brain barrier (BBB), PSA, LogS, percent human oral absorption, and toxicity analysis. Finally, 32 compounds were identified as potential leads against AChE enzyme, showing good estimated activities and promising ADMET properties. Molecular docking of these compounds using FlexX software showed catalytic and peripheral anionic binding site interactions, so called dual binding of the AChE enzyme. Docking study was also performed on butyrylcholinesterase in order to understand the compound selectivity. This study may assist in the discovery and design of novel dual binding site and selective AChE inhibitors with potent inhibitory activity.

Molecular Docking Guided Comparative GFA, G/PLS, SVM and ANN Models of Structurally Diverse Dual Binding Site Acetylcholinesterase Inhibitors

Recently discovered 42 AChE inhibitors binding at the catalytic and peripheral anionic site were identified on the basis of molecular docking approach, and its comparative quantitative structure–activity relationship (QSAR) models were developed. These structurally diverse inhibitors were obtained by our previously reported high‐throughput in vitro screening technique using 384‐well plate’s assay based on colorimetric method of Ellman. QSAR models were developed using (i) genetic function algorithm, (ii) genetic partial least squares, (iii) support vector machine and (iv) artificial neural network techniques. The QSAR model robustness and significance was critically assessed using different cross‐validation techniques on test data set. The generated QSAR models using thermodynamic, electrotopological and electronic descriptors showed that nonlinear methods are more robust than linear methods, and provide insight into the structural features of compounds that are important for AChE inhibition.

Ligand-based molecular design of 4-benzylpiperidinealkylureas and amides as CCR3 antagonists

Asthma is an inflammatory disease of the lungs. Clinical studies suggest that eotaxin and chemokine receptor-3 (CCR3) play a primary role in the recruitment of eosinophils in allergic asthma. Development of novel and potent CCR3 antagonists could provide a novel mechanism for inhibition of this recruitment process, thereby preventing asthma. With the intention of designing new ligands with enhanced inhibitor potencies against CCR3, a 3D-QSAR CoMFA study was carried out on 41 4-benzylpiperidinealkylureas and amide derivatives. The best statistics of the developed CoMFA model were r2 = 0.960,

In silico approach to discover multi-target-directed ligands for the treatment of Alzheimer's disease

r_{cv}^2 = 0.589