Multi-Target In-Silico modeling strategies to discover novel angiotensin converting enzyme and neprilysin dual inhibitors.

Cardiovascular diseases, including heart failure, stroke, and hypertension, affect 608 million people worldwide and cause 32% of deaths. Combination therapy is required in 60% of patients, involving concurrent Renin-Angiotensin-Aldosterone-System (RAAS) and Neprilysin inhibition. This study introduces a novel multi-target in-silico modeling technique (mt-QSAR) to evaluate the inhibitory potential against Neprilysin and Angiotensin-converting enzymes. Using both linear (GA-LDA) and non-linear (RF) algorithms, mt-QSAR classification models were developed using 983 chemicals to predict inhibitory effects on Neprilysin and Angiotensin-converting enzymes. The Box-Jenkins method, feature selection method, and machine learning algorithms were employed to obtain the most predictive model with ~ 90% overall accuracy. Additionally, the study employed virtual screening of designed scaffolds (Chalcone and its analogues, 1,3-Thiazole, 1,3,4-Thiadiazole) applying developed mt-QSAR models and molecular docking. The identified virtual hits underwent successive filtration steps, incorporating assessments of drug-likeness, ADMET profiles, and synthetic accessibility tools. Finally, Molecular dynamic simulations were then used to identify and rank the most favourable compounds. The data acquired from this study may provide crucial direction for the identification of new multi-targeted cardiovascular inhibitors.

In silico study to recognize novel angiotensin-converting-enzyme-I inhibitors by 2D-QSAR and constraint-based molecular simulations.

Cardiovascular diseases (CVD) such as heart failure, stroke, and hypertension affect 64.3 million people worldwide and are responsible for 30% of all deaths. Primary inhibition of the angiotensin-converting enzyme (ACE) is significant in the management of CVD. In the present study, the genetic algorithm-multiple linear regressions (GA-MLR) method is used to generate highly predictive and statistically significant (R2 = 0.70-0.75, Q2LOO=0.67-0.73, Q2LMO=0.66-0.72, CCCex=0.70-0.78) quantitative structure-activity relationships (QSAR) models conferring to OECD requirements using a dataset of 255 structurally diverse and experimentally validated ACE inhibitors. The models contain simply illustratable Padel, Estate, and PyDescriptors that correlate structural scaffold requisite for ACE inhibition. Also, constraint-based molecular docking reveals an interaction profile between ligands and enzymes which is then correlated with the essential structural features associated with the QSAR models. The QSAR-based virtual screening was utilized to find novel lead molecules from a designed database of 102 thiadiazole derivatives. The Applicability domain (AD), Molecular Docking, Molecular dynamics, and ADMET analysis suggest two compound D24 and D40 are inflexibly linked to the protein binding site and follows drug-likeness properties.Communicated by Ramaswamy H. Sarma.

Prospecting for Cressa cretica to treat COVID-19 via in silico molecular docking models of the SARS-CoV-2.

The severe acute respiratory syndrome COVID-19 declared as a global pandemic by the World Health Organization has become the present wellbeing worry to the whole world. There is an emergent need to search for possible medications. Cressa cretica is reported to show antitubercular, antibacterial and expectorant property. In this research, we aim to prospect the COVID-19 main protease crystal structure (Mpro; PDB ID: 6LU7) and the active chemical constituents from Cressa cretica in order to understand the structural basis of their interactions. We examined the binding potential of active constituents of Cressa cretica plant to immensely conserved protein Mpro of SARS-CoV-2 followed by exploration of the vast conformational space of protein-ligand complexes by molecular dynamics (MD) simulations. The results suggest the effectiveness of 3,5-Dicaffeoylquinic acid and Quercetin against standard drug Remdesivir. The active chemical constituents exhibited good docking scores, and interacts with binding site residues of Mpro by forming hydrogen bond and hydrophobic interactions. 3,5-Dicaffeoylquinic acid showed the best affinity towards Mpro receptor which is one of the target enzymes required by SARS CoV-2 virus for replication suggesting it to be a novel research molecule. The potential of the active chemical constituents from Cressa cretica against the SARS-CoV-2 virus has best been highlighted through this study. Therefore, these chemical entities can be further scrutinized and provides direction for further consideration for in-vivo and in-vitro validations for the treatment of covid-19. Communicated by Ramaswamy H. Sarma.

Exploring the active constituents of Oroxylum indicum in intervention of novel coronavirus (COVID-19) based on molecular docking method.

The severe acute respiratory syndrome COVID-19 declared a global pandemic by WHO has become the present wellbeing worry to the whole world. There is an emergent need to search for possible medications. We report in this study a molecular docking study of eighteen Oroxylum indicum molecules with the main protease (Mpro) responsible for the replication of SARS-CoV-2 virus. The outcome of their molecular simulation and ADMET properties reveal four potential inhibitors of the enzyme (Baicalein-7-O-diglucoside, Chrysin-7-O-glucuronide, Oroxindin and Scutellarein) with preference of ligand Chrysin-7-O-glucuronide that has the second highest binding energy (- 8.6 kcal/mol) and fully obeys the Lipinski's rule of five. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13721-020-00279-y.

Phytophospholipid Complex of Caffeic Acid: Development, In vitro Characterization, and In Vivo Investigation of Antihyperlipidemic and Hepatoprotective Action in Rats.

Caffeic acid (CA), a hydroxycinnamic acid possessing a variety of pharmacological activities, has caused a growing interest for the treatment of hyperlipidemia and associated conditions. This work endeavored to develop a novel formulation of CA-Phospholipon® 90H complex (CA-PC) using a solvent evaporation method. Scanning electron microscopy (SEM), differential scanning calorimetry (DSC), Fourier transform infrared spectrophotometry (FTIR), and powder X-ray powder diffraction (PXRD) was carried to confirm the formation of CA-PC. The CA-PC was functionally evaluated in terms of solubility, in vitro and ex vivo drug release, and in vivo bioavailability and efficacy studies. SEM, DSC, FTIR, and XRD studies indicated the physical interaction of CA with Phospholipon® 90H to form a complex. Dynamic light scattering (DLS) studies described particle size of 168 ± 3.9 nm with a monodisperse distribution (PDI 0.17) and a negative zeta-potential of - 16.6 ± 2.1 mV. The phospholipid complex significantly improved (4.2-fold) the solubility of CA. In vitro and ex vivo dissolution studies of the formulated CA-PC revealed a significantly higher release compared with the pure CA. The pharmacokinetic study of CA-PC in rats demonstrated a significant increase (4.79-fold) in oral bioavailability when compared with pure CA as well. Additionally, a significant improvement in serum lipid profile, serum liver biomarker enzyme levels and, restoration of hepatic tissue architecture to normal, in high-fat diet (HFD) induced hyperlipidemic model was obtained upon CA-PC administration when compared with pure CA. These findings indicated that CA-PC would serve as an effective and promising formulation for CA delivery with improved antihyperlipidemic and hepatoprotective activity.Graphical abstract.

Impact of tautomery of 3-(4H-1,2,4-triazol-3-ylthio)-N-phenylpropanamide on the COX-1 inhibitory mechanism.

Earlier, we have reported the synthesis and anti-inflammatory evaluation of different 3-(4H-1,2,4-triazol-3-ylthio)-N-substituted propanamide. In this article, we are reporting the various tautomeric forms of the most active anti-inflammatory compound, 3-(4H-1,2,4-triazol-3-ylthio)-N-phenylpropanamide (6a) and their virtual screening by molecular docking using six principle tautomeric forms. Docking analysis suggested that compound 3-(4H-1,2,4-triazol-3-ylthio)-N-phenylpropanamide (6a) bound with COX-1 selectively and drug receptor complex was stabilized by tautomerism. Noticeably, hydroxy group formed by tautomerism appreciably improve the drug receptor interactions. It was also supervised that the compound 3-(4H-1,2,4-triazol-3-ylthio)-N-phenylpropanamide (6a) docked near the gate of COX-1 active site and might block the conversion of arachidonic acid to prostaglandin (PG) H2 in the active site of COXs. Moreover, we have carried out receptor based electrostatic analysis to clarify the electronic, steric and hydrophobic field requirement of 3-(4H-1,2,4-triazol-3-ylthio)-N-phenylpropanamide (6a) to interact with COX -1 receptor.