Dharmendra Kumar Yadav
Central Institute of Medicinal and Aromatic Plants
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Featured researches published by Dharmendra Kumar Yadav.
Journal of Molecular Modeling | 2012
Dharmendra Kumar Yadav; Feroz Khan; Arvind S. Negi
Immunomodulation refers to an alteration in the immune response due to the intrusion of foreign molecules into the body. In the present communication, QSAR and docking studies of gallic acid derivatives were performed in relation to their immunomodulatory activities. Screening through the use of a QSAR model suggested that the compounds G-4, G-7, G-9, G-10, G-12, and G-13 possess immunomodulatory activity. Activity was predicted using a statistical model developed by the forward stepwise multiple linear regression method. The correlation coefficient (r2) and the prediction accuracy (rCV2) of the QSAR model were 0.99 and 0.96, respectively. The QSAR study indicated that chemical descriptors—dipole moment, steric energy, amide group count, λmax (UV-visible) and molar refractivity—are well correlated with activity, while decreases in the dipole moment, steric energy, and molar refractivity were negatively correlated. A molecular docking study showed that the compounds had high binding affinities for the INFα-2, IL-6, and IL-4 receptors. Binding site residues formed H-bonds with the designed gallic acid derivatives G-3, G-4, G-5, G-6, G-7, and G-10. Moreover, based on screening for oral bioavailability, in silico ADME, and toxicity risk assessment, we concluded that compound G-7 exhibits marked immunomodulatory activity, comparable to levamisole.
Journal of Molecular Modeling | 2012
Komal Kalani; Dharmendra Kumar Yadav; Feroz Khan; Santosh Kumar Srivastava; Nitasha Suri
In the present work, QSAR models for predicting the activities of ursolic acid analogs against human lung (A-549) and CNS (SF-295) cancer cell lines were developed by a forward stepwise multiple linear regression method using a leave-one-out approach. The regression coefficient (r2) and the cross-validation regression coefficient (rCV2) of the QSAR model for cytotoxic activity against the human lung cancer cell line (A-549) were 0.85 and 0.80, respectively. The QSAR study indicated that the LUMO energy, ring count, and solvent-accessible surface area were strongly correlated with anticancer activity. Similarly, the QSAR model for cytotoxic activity against the human CNS cancer cell line (SF-295) also showed a high correlation (r2 = 0.99 and rCV2 = 0.96), and indicated that dipole vector and solvent-accessible surface area were strongly correlated with activity. Ursolic acid analogs that were predicted to be active against these cancer cell lines by the QSAR models were semisynthesized and characterized on the basis of their 1H and 13C NMR spectroscopic data, and were then tested in vitro against the human lung (A-549) and CNS (SF-295) cancer cell lines. The experimental results obtained agreed well with the predicted values.
Drug Design Development and Therapy | 2010
Dharmendra Kumar Yadav; Abha Meena; Ankit Srivastava; Debabrata Chanda; Feroz Khan; Sunil K. Chattopadhyay
Immunomodulation is the process of alteration in immune response due to foreign intrusion of molecules inside the body. Along with the available drugs, a large number of herbal drugs are promoted in traditional Indian treatments, for their immunomodulating activity. Natural coumarinolignoids isolated from the seeds of Cleome viscose have been recognized as having hepatoprotective action and have recently been tested preclinically for their immunomodulatory activity affecting both cell-mediated and humoral immune response. To explore the immunomodulatory compound from derivatives of coumarinolignoids, a quantitative structure activity relationship (QSAR) and molecular docking studies were performed. Theoretical results are in accord with the in vivo experimental data studied on Swiss albino mice. Immunostimulatory activity was predicted through QSAR model, developed by forward feed multiple linear regression method with leave-one-out approach. Relationship correlating measure of QSAR model was 99% (R2 = 0.99) and predictive accuracy was 96% (RCV2 = 0.96). QSAR studies indicate that dipole moment, steric energy, amide group count, lambda max (UV-visible), and molar refractivity correlates well with biological activity, while decrease in dipole moment, steric energy, and molar refractivity has negative correlation. Docking studies also showed strong binding affinity to immunomodulatory receptors.
Journal of Chemometrics | 2013
Dharmendra Kumar Yadav; Feroz Khan
In the present work, quantitative structure–activity relationship (QSAR) models of camptothecin derivatives against DNA Topoisomerase‐I (DNA Topo‐I) were developed by multiple linear regression method using leave‐one‐out validation approach. The r2 and rCV2 of the model were 0.89 and 0.86, respectively. The QSAR study indicates that chemical descriptors, namely Connectivity Index (order 1, standard), Electron Affinity (eV), Molecular Weight, Group Count (ether) are correlated well with activity. Further, screening for drug likeness, ADME and toxicity showed that compound CPT9, CPT14, CPT20, CPT21 and CPT22 exhibits marked anticancer activity and possesses two times more potent than standard drug camptothecin. The docking study showed a high binding affinity of predicted active derivatives and showed H‐bond formation with GLY363, ARG364, LYS374, GLN421, ARG488, and ASP‐533 residues, therefore considered as more stable and potent anticancer compounds. The obtained results can be used for the design of novel potent and selective inhibitors of DNA Topo‐I. Copyright
Bioorganic & Medicinal Chemistry | 2012
A.P. Prakasham; A. K. Saxena; Suaib Luqman; Debabrata Chanda; Tandeep Kaur; Atul Gupta; Dharmendra Kumar Yadav; Chandan S. Chanotiya; Karuna Shanker; Feroz Khan; Arvind S. Negi
In an attempt to discover a potent and selective anticancer agent, gallic acid has been modified to benzylidene indanones as tubulin polymerization inhibitors. These compounds were evaluated against several human cancer cell lines and also evaluated for inhibition of tubulin polymerase in in vitro assays. Three of the analogues exhibited strong cytotoxicity against human cancer cell lines IC(50)=10-880 nM and also showed tubulin polymerization inhibition (IC(50)=0.62-2.04 μM). Compound 9j, the best candidate of the series was found to be non-toxic in acute oral toxicity in Swiss-albino mice up to 1000 mg/kg dose.
Current Computer - Aided Drug Design | 2013
Dharmendra Kumar Yadav; Vipin Mudgal; Jyoti Agrawal; Anil Kumar Maurya; Dnyaneshwar Umrao Bawankule; Chandan S. Chanotiya; Feroz Khan; Sanjog T. Thul
Aquilaria agallocha Roxb. family, Thymelaeaceae, is an evergreen plant of South-East Asia, commonly described as aloe wood or agarwood. Traditionally, the bark, root and heartwood are used for their medicinal properties as a folk medicine for hundreds of years. Chemical analyses revealed that the bulk of the oil is constituted by agarospirol (12.5%), jinkoh-eremol (11.8%) and hinesol (8.9%) as major contributor. In the present work, a QSAR model for antiinflammatory activity of 10-epi-γ-Eudesmol, jinkoh-eremol, agarospirol and other compounds has been developed by multiple linear regression method. The r(2) and rCV(2) of a model were 0.89 and 0.81 respectively. In silico molecular docking study suggests that compound 10-epi-γ-Eudesmol, jinkoh-eremol and agarospirol are preferentially more active than other identified compounds with strong binding affinity to major anti-inflammatory and immunomodulatory receptors. The oil displayed a significant and dose dependent reduction of 12-O-tetradecanoylphorobol-13 acetate (TPA)- induced ear edema and MDA activity when compared with vehicle treated mice. Pro-inflammatory cytokines (IL-1β, IL-6 and TNF-α) were also reduced significantly in a dose dependent manner in all the TPA treated groups as compared to control. The present study indicates that agarwood oil significantly reduced the skin thickness, ear weight, oxidative stress and pro-inflammatory cytokines production in TPA-induced mouse ear inflammation model and contributed towards validation of its traditional use to treat inflammation related ailments.
Chemical Biology & Drug Design | 2011
Abha Meena; Dharmendra Kumar Yadav; Ankit Srivastava; Feroz Khan; Debabrata Chanda; Sunil K. Chattopadhyay
Natural coumarinolignoids isolated from the seeds of Cleome viscosa consist of a racemic mixture of cleomiscosins A, B and C. To screen out potential lead, anti‐inflammatory activity of the isolated compounds was evaluated through molecular docking and QSAR studies by using reported in vivo activity of Swiss albino mice. Based on docking binding affinity, a possible mechanism of action has been hypothesized which constitute toll‐like receptors (TLR‐4), cluster of differentiation molecules (CDs), iNOS, COX‐2 and STAT‐6 proteins. It was very interesting to find that the 3D topology of the active site of COX‐2 from the docking was in good agreement with QSAR model and in silico ADME/T parameters. A forward feed multiple linear regression model was developed with r2 = 0.92 and rCV2 = 0.87. This study showed that chemical descriptors, for example dipole vector‐X, dipole vector‐Y, steric energy, LUMO energy, size of smallest ring, size of largest ring and carboxyl group count, correlate reasonably well with experimental in vivo activity (logLD50). QSAR study indicates that dipole vector‐Y and carboxyl group count have negative correlation with activity. Cleomiscosins also showed compliance with 95% of in silico ADME/T properties of available drugs, e.g. serum protein binding, blood–brain barrier, CNS activity, HERG K+ channel activity, apparent Caco‐2 permeability, apparent MDCK permeability, skin permeability and human oral absorption in GI. Besides, toxicity screening study suggests that cleomiscosin molecules possess no toxicity risk parameters. This study offer useful references for understanding and molecular design of inhibitors with improved anti‐inflammatory activity.
Current Medicinal Chemistry | 2014
Dharmendra Kumar Yadav; Komal Kalani; Abhishek K. Singh; Feroz Khan; Santosh Kumar Srivastava; Aditya B. Pant
In the present work, QSAR model was derived by multiple linear regression method for the prediction of anticancer activity of 18β-glycyrrhetinic acid derivatives against the human breast cancer cell line MCF-7. The QSAR model for anti-proliferative activity against MCF-7 showed high correlation (r(2)=0.90 and rCV(2)=0.83) and indicated that chemical descriptors namely, dipole moment (debye), steric energy (kcal/mole), heat of formation (kcal/mole), ionization potential (eV), LogP, LUMO energy (eV) and shape index (basic kappa, order 3) correlate well with activity. The QSAR virtually predicted that active derivatives were first semi-synthesized and characterized on the basis of their (1)H and (13)C NMR spectroscopic data and then were in-vitro tested against MCF-7 cancer cell line. In particular, octylamide derivative of glycyrrhetinic acid GA-12 has marked cytotoxic activity against MCF-7 similar to that of standard anticancer drug paclitaxel. The biological assays of active derivative selected by virtual screening showed significant experimental activity.
Medicinal Chemistry | 2013
Dharmendra Kumar Yadav; Komal Kalani; Feroz Khan; Santosh Kumar Srivastava
For the prediction of anticancer activity of glycyrrhetinic acid (GA-1) analogs against the human lung cancer cell line (A-549), a QSAR model was developed by forward stepwise multiple linear regression methodology. The regression coefficient (r(2)) and prediction accuracy (rCV(2)) of the QSAR model were taken 0.94 and 0.82, respectively in terms of correlation. The QSAR study indicates that the dipole moments, size of smallest ring, amine counts, hydroxyl and nitro functional groups are correlated well with cytotoxic activity. The docking studies showed high binding affinity of the predicted active compounds against the lung cancer target EGFR. These active glycyrrhetinic acid derivatives were then semi-synthesized, characterized and in-vitro tested for anticancer activity. The experimental results were in agreement with the predicted values and the ethyl oxalyl derivative of GA-1 (GA-3) showed equal cytotoxic activity to that of standard anticancer drug paclitaxel.
European Journal of Pharmaceutical Sciences | 2012
Anupam Maurya; Feroz Khan; Dnyaneshwar Umrao Bawankule; Dharmendra Kumar Yadav; Santosh Kumar Srivastava
Two triterpenoids ursolic acid (1) and lupeol (2) isolated and characterized from Eucalyptus tereticornis and Gentiana kurroo were subjected to in silico QSAR modeling and docking studies and later the predicted results were confirmed through in vivo experiments. QSAR modeling results showed that both the triterpenoids possess immunomodulatory and anti-inflammatory activity comparable to boswellic and cichoric acids, but were less active than levamisol. Docking results suggested that both the triterpenoids (1 and 2) showed immune modulatory and anti-inflammatory activity due to high binding affinity to human receptors viz., NF-kappaB p52 (-50.549 kcal/mol), tumor necrosis factor (TNF-alpha) (-47.632 kcal/mol), nuclear factor NF-Kappa-B P50 (-16.798 kcal/mol) and cyclooxygenase-2 (-55.244 kcal/mol). Further both the triterpenoids (1 and 2) were subjected to in vivo immunomodulatory activity in female Swiss albino mice. The experimental mice were divided into nine groups, each comprised of six mice. These received oral treatment for a period of 28 days. The triterpenoids (1 and 2) showed significant increased in humoral immune function, but no significant changes were observed in cell mediated immune response and hematological parameters. The in silico and in vivo experimental data suggested that both the triterpenoids 1 and 2 may be considered as potential immunomodulatory drug-like molecules.