Browsing by Author "Verma, Sant Kumar"

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Dual aromatase-steroid sulfatase inhibitors (DASI's) for the treatment of breast cancer: a structure guided ligand based designing approach
(Taylor and Francis Ltd., 2022-12-13T00:00:00) Singh, Yogesh; Jaswal, Shalini; Singh, Satwinder; Verma, Sant Kumar; Thareja, Suresh
Dual aromatase-steroid sulfatase inhibitors (DASIs) lead to significant deprivation of estrogen levels as compared to a single target inhibition and thereby exhibited an additive or synergistic effect in the treatment of hormone-dependent breast cancer (HDBC). Triazole-bearing DASI�s having structural features of clinically available aromatase inhibitors are identified as lead structures for optimization as DASI�s. To identify the spatial fingerprints of target-specific triazole as DASI�s, we have performed molecular docking assisted Gaussian field-based comparative 3D-QSAR studies on a dataset with dual aromatase-STS inhibitory activities. Separate contours were generated for both aromatase and steroid sulphates showing respective pharmacophoric structural requirements for optimal activity. These developed 3D-QSAR models also showed good statistical measures with the excellent predictive ability with PLS-generated validation constraints. Comparative steric, electrostatic, hydrophobic, HBA, and HBD features were elucidated using respective contour maps for selective target-specific favourable activity. Furthermore, the molecular docking was used for elucidating the mode of binding as DASI�s along with the MD simulation of 100 ns revealed that all the protease-ligand docked complexes are overall stable as compared to reference ligand (inhibitor ASD or Irosustat) complex. Further, the MM-GBSA study revealed that compound 24 binds to aromatase as well as STS active site with relatively lower binding energy than reference complex, respectively. A comparative study of these developed multitargeted QSAR models along with molecular docking and dynamics study can be employed for the optimization of drug candidates as DASI�s. Communicated by Ramaswamy H. Sarma. � 2022 Informa UK Limited, trading as Taylor & Francis Group.
Gaussian field-based comparative 3D QSAR modelling for the identification of favourable pharmacophoric features of chromene derivatives as selective inhibitors of ALR2 over ALR1
(Springer, 2021-01-07T00:00:00) Verma, Sant Kumar; Kumar, Niraj; Thareja, Suresh
Aldehyde reductase (ALR1) and aldose reductase (ALR2) are both oxo-reductase enzymes of aldo-keto reductase (AKR) superfamily involved in several cellular processes. ALR1 plays an important role in colorectal cancer, lungs, and hepatic carcinoma, while ALR2 is involved in diabetic complications like retinopathy, neuropathy, and nephropathy cataract. Both the enzymes take part in distinct physiological processes, however, share more > 70% structural homology. This is the major cause behind the unachieved target selectivity of molecules that entered the development pipeline as ALR2 inhibitors. Chromene analogues have been widely explored for diverse biological activities, including antioxidant and diabetic complication prevention potential. For the identification of spatial fingerprints of target-specific chromene bearing ALR2 inhibitors over ALR1, Gaussian field-based comparative 3D QSAR models were generated on a dataset having ALR1 and ALR2 inhibitory activity. Both the ALR1 and ALR2 3D QSAR models were statistically fit with good predictive ability concerning PLS generated validation constraints. The comparative steric, electrostatic, hydrophobic, HBA, and HBD features were elucidated using respective contour maps for selective target specific favourable activity against ALR2 over ALR1. In addition, the five-point pharmacophores for ALR1 and ALR2 favourable features were also generated using the DHHRR_1 hypothesis for better insight on the distinctive features of ALR2 inhibitors compared to ALR1. � 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
Multifaceted 3D-QSAR analysis for the identification of pharmacophoric features of biphenyl analogues as aromatase inhibitors
(Taylor and Francis Ltd., 2021-12-29T00:00:00) Banjare, Laxmi; Singh, Yogesh; Verma, Sant Kumar; Singh, Atul Kumar; Kumar, Pradeep; Kumar, Shashank; Jain, Akhlesh Kumar; Thareja, Suresh
Aromatase, a cytochrome P450 enzyme, is responsible for the conversion of androgens to estrogens, which fuel the multiplication of cancerous cells. Inhibition of estrogen biosynthesis by aromatase inhibitors (AIs) is one of the highly advanced therapeutic approach available for the treatment of estrogen-positive breast cancer. Biphenyl moiety aids lipophilicity to the conjugated scaffold and enhances the accessibility of the ligand to the target. The present study is focused on the investigation of, the mode of binding of biphenyl with aromatase, prediction of ligand-target binding affinities, and pharmacophoric features essential for favorable for aromatase inhibition. A multifaceted 3D-QSAR (SOMFA, Field and Gaussian) along with molecular docking, molecular dynamic simulations and pharmacophore mapping were performed on a series of biphenyl bearing molecules (1�33) with a wide range of aromatase inhibitory activity (0.15�920 nM). Among the generated 3D-QSAR models, the Force field-based 3D-QSAR model (R 2 = 0.9151) was best as compared to SOMFA and Gaussian Field (R 2=0.7706, 0.9074, respectively). However, all the generated 3D-QSAR models were statistically fit, robust enough, and reliable to explain the variation in biological activity in relation to pharmacophoric features of dataset molecules. A four-point pharmacophoric features with three acceptor sites (A), one aromatic ring (R) features, AAAR_1, were obtained with the site and survival score values 0.890 and 4.613, respectively. The generated 3D-QSAR plots in the study insight into the structure�activity relationship of dataset molecules, which may help in the designing of potent biphenyl derivatives as newer inhibitors of aromatase. Communicated by Ramaswamy H. Sarma. � 2021 Informa UK Limited, trading as Taylor & Francis Group.
De novo designing, assessment of target affinity and binding interactions against aromatase: Discovery of novel leads as anti-breast cancer agents
(Springer, 2020-11-13T00:00:00) Verma, Sant Kumar; Ratre, Pooja; Jain, Akhlesh Kumar; Liang, Chengyuan; Gupta, Ghanshyam Das; Thareja, Suresh
Aromatase inhibitors (AIs) have been emerged as promising anti-cancer agents for the treatment of hormone dependent breast cancer (HDBC) in women because of their excellent ability of inhibiting oestrogen synthesis. Here, we have implicated structure-based comprehensive approaches to discover novel drug/lead-like AIs. The molecular modelling and energy optimization were performed using Chem Office package. The e-LEA3D web server was used to design novel drug/lead-like AIs as well as generation of ADME/drug-likeness parameters. Target binding affinities and mode of binding interactions were mapped using Molegro Virtual Docker (MVD) to re-optimize the best de novo generated molecules. We have successfully designed novel AIs (compounds 1�7) using de novo technique performed on e-LEA3D. All the designed molecules were found optimum drug-like candidates based on various in silico screening parameters including �rule of five�. The energy optimized conformers of generated molecules (1�7) were docked in the active site, corresponding to co-crystallized androstenedione (ASD), of aromatase to predict ligand-target binding affinity and their binding interactions. The molecules (1�7) showed comparable to higher binding affinity towards aromatase with MolDock Score ranges from ? 134.881 to ? 152.453�Kcal/mol as compared with natural substrate ASD (? 128.639�Kcal/mol) and standard letrozole (? 136.784�Kcal/mol). The de novo designed molecules (1�7) can be developed as novel AIs, and their binding properties can be used for the further designing of newer AIs by medicinal chemists. � 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Rational design and synthesis of novel biphenyl thiazolidinedione conjugates as inhibitors of protein tyrosine phosphatase 1B for the management of type 2 diabetes
(Elsevier B.V., 2022-11-12T00:00:00) Thareja, Suresh; Verma, Sant Kumar; Jain, Akhlesh Kumar; Kumar, Manoj; Bhardwaj, Tilak Raj
To achieve the unmet discovery of protein tyrosine phosphatase 1B (PTP1B) inhibitors, we have rationally designed novel biphenyl thiazolidinedione conjugates (8a-n). The designed molecules were found fit on in silico absorption, distribution, metabolism, excretion, and toxicity (ADMET) screening criteria of drug-likeness. Ligand-target binding study revealed that N-methyl benzoic acid derivative (8j) was best target fit and displayed extended plausible binding interactions with phospho-tyrosine (pTyr) loop of PTP1B, a unique bidentate binding mode for PTP1B selectivity over other PTPs. The designed analogues (8a-n) were synthesized (Scheme 1) and accessed for their in vitro PTP1B inhibitory potency, in vivo anti-hyperglycemic efficacy as well as the effect of treatment on weight and pancreatic safety. Molecules 8a-n showed moderate to good PTP1B inhibitory activity (IC50 = 5.897�48.150 �M) compared to Suramin (IC50 = 11.104 �M) and exhibited time-dependent in vivo efficacy, ranging from inferior to better, as compared to Pioglitazone. Moreover, 8j was found best pre-clinical candidate exhibiting good in vitro potency (IC50 = 5.897 �M), better in vivo efficacy with the advantage of control in weight and pancreatic safety, compared to glitazone therapy. � 2022 Elsevier B.V.
Research progress on 2,4-thiazolidinedione and 2-thioxo-4-thiazolidinone analogues as aldose reductase inhibitors
(Elsevier B.V., 2022-07-18T00:00:00) Kharyal, Ankush; Ranjan, Sanjeev; Jaswal, Shalini; Parveen, Darakhshan; Gupta, Ghanshyam Das; Thareja, Suresh; Verma, Sant Kumar
Diabetes-associated complications are a major global health concern. In diabetics, the increased accumulation of sorbitol, produced via over activated polyol pathway, from glucose by the action of aldose reductase (AR, ALR2, or AKR1B1), has been associated with life-threatening co-morbidities. Aldose reductase is crucial in detoxifying certain hazardous aldehydes. However, aldose reductase overexpression in the hyperglycemic state results in microvascular and macrovascular diabetic complications through the consequences of the activated polyol pathway. Accordingly, aldose reductase inhibition has been identified as a viable strategy for dealing with diabetes-associated complications, and it has been put under investigation by various researchers around the world. 2,4-Thiazolidinedione (TZD) and its bio-isosteric analog 2-thioxo-4-thiazolidinone (rhodanine) have been explored as potential inhibitors of aldose reductase to find new molecules. The current review provides a comprehensive insight into the development and medicinal chemistry of TZD and rhodanine derivatives as aldose reductase inhibitors during the last twenty years (2002�2021). Here, the synthetic strategies, SAR, and binding mode of various compounds, Quantitative structure activity relationship (QSARs) are discussed with an emphasis on structural changes to the both moieties for optimizing/designing potent target-specific inhibitors, which is expected to be beneficial for the further design and discovery of newer agents for the treatment of diabetic complications. In addition, the patents on TZDs and rhodanine derivatives as aldose reductase inhibitors are summarized to illustrate the current status. � 2022 Elsevier B.V.