COMPUTATIONAL ANALYSIS OF NARINGENIN AS AN ANTIDEPRESSANT

Author(s):  
PREMJANU N ◽  
CHELLAM JAYNTHY

Objective: This works aims at analyzing the potential of Naringenin (NAR) as an antidepressant drug by computational methods. Methods: The database Protein Data Bank and PubChem were used to retrieve the three-dimensional structures of the protein and the compound. The software Discovery Studio was used to study the interactions between the protein and the ligand. Results: NAR, one of the flavanone, which has strong anti-inflammatory and antioxidant activities, is studied for its antidepressant and neuroprotective effects through in silico approach. Interaction study and pharmacophore analysis using Discovery Studio show that the molecule NAR interacts with the protein at different sites. The interaction has a maximum dock score at position B. Conclusion: The compound NAR shows to have antidepressant quality from the computational study. The docking studies show promising result that NAR can be explored further as a potential drug.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ömer Akbal ◽  
Hakan F. Öztop ◽  
Nidal H. Abu-Hamdeh

Purpose The purpose of this paper is to make a three-dimensional computational analysis of melting in corrugated pipe inserted system filled with phase change material (PCM). The system was heated from the inner pipe, and temperature of the outer pipe was lower than that of inner pipe. Different geometrical ratio cases and two different temperature differences were tested for their effect on melting time. Design/methodology/approach A computational analysis through a pipe with corrugated pipe filled with PCM is analyzed. Finite volume method was applied with the SIMPLE algorithm method to solve the governing equations. Findings The results indicate that the geometrical parameters can be used to control the melting time inside the heat exchanger which, in turn, affect the energy efficiency. The fastest melting time is seen in Case 4 at the same temperature difference which is the major observation of the current work. Originality/value Originality of this work is to perform a three-dimensional analysis of melting of PCM in a corrugated pipe inserted pipe.


Author(s):  
SANGEETA RANI ◽  
KAVITA GAHLOT ◽  
ARVIND KUMAR

Objective: The purpose of this study was to investigate the diabetic effect of phytocompounds isolated from Cressa cretica Linn. using spectroscopic analysis and molecular docking studies. Methods: Coarse powder of the whole plant of C. cretica was extracted with methanol, extracted part was subjected to silica column isolation, and two compounds: 2-Isopropyl-4-(1-methyl-dodeca-2,4-dienyloxy)-benzene-1,3,5-triol (Compound CN-01) and 11-Methyl-dodeca-2,4,6,8,10-pentenoic acid 2,3-dihydroxy-5-methyl-phenyl ester (Compound CN-02) were isolated in pure form. The three-dimensional structure of target protein was downloaded from PDB (www.rcsb.org) Protein Data Bank, Ligand file CN – 01 and CN – 02 were converted to MDL Molfile (V2000) format using ChemSketch 2017.2.1. These files could not be used directly in AutoDock 4.0 tools; thus, they were first converted to PDB files using an open babel tool. Results: Compounds were revealed through spectroscopic analysis and screened using AutoDock 4.0 tools. Docking study recommended that CN – 01 and CN – 02 an existing phytochemical from the plant of C. cretica had the highest fitness docking score and hence could be a potent antidiabetic drug. Conclusion: In this investigation, we docked the receptor (glycogen phosphorylase protein) holds a promising lead target formation against diabetes based on molecular docking analysis (minimum hydrogen bond length and maximum docked score). Thus, these compounds can be effectively used as drugs for treating diabetes which is predicted on the basis of docking scores.


2021 ◽  
Vol 8 (4) ◽  
pp. 4294-4305
Author(s):  
Mohammad Murwih Alidmat ◽  
Melati Khairuddean ◽  
Salizawati Muhamad Salhimi ◽  
Mohammad Al-Amin

Introduction: A bis-chalcones were prepared by the reaction of terephthalaldehyde with 3-acetyl-2,5-dichlorothiophene or 3-acetyl- 5-chlorothiophene and reaction cyclo ketone derivatives with phenyl aldehyde derivatives in good yields. Methods: The molecular docking studies were conducted using the Discovery Studio (DSv4.5) and MG. Tools installed in Window 10. The cancer receptor (3ERT) was downloaded from the protein data bank (PDB). All new compounds were characterized by IR, 1H-NMR, 13C-NMR, 2D-NMR, and CHN elemental analysis. The anticancer activity of the synthesized compounds was determined using MTT (3-(4, 5- dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide) reduction assay against MCF-7 cells, and then the minimum inhibitory concentration (IC50) was determined with the reference of the standard drug tamoxifen. Results: The results showed that compound 6 showed more potent activity in inhibiting growth on both types of MCF-7 compared to reference tamoxifen.    


Author(s):  
Manisha S. Phoujdar ◽  
Gourishankar R. Aland

Objective: CDK2 inhibitors are implicated in several carcinomas viz. Carcinoma of lung, bladder, sarcomas and retinoblastoma. Pyrazolopyrimidines, being purine bioisosters inhibit more than one type of kinase. In this study, we are studying some novel derivatives of 1H-pyrazolo [3,4d] pyrimidines not reported earlier. The objective of the present study is an attempt towards design and development of 1H-[3,4-] pyrazolo-pyrimidines as CDK2 inhibitors through rational drug design.Methods: The present study has been done on CDK2 structure, PDB ID, 3WBL, co-crystallized with ligand PDY from RCSB protein data bank. A series of seventeen 1H-Pyrazolo [3,4-d] pyrimidines feasible for synthesis was docked on the said CDK2 receptor using Auto Dock 4 version, 1.5.6. Outputs were exported to discovery studio 3.5 client for visual inspection of the binding modes and interactions of the compounds with amino acid residues in the active sites.Results: The results of docking studies revealed that the present series of 1H-Pyrazolo[3,4-d] pyrimidines is showing significant binding through hydrogen bonding, hydrophobic, pi and Van der waals interactions, similar to the ligand PDY. Some conserved H-bond interactions comparable to bioisosters and compounds presently under human trials were noted. Ki values predicted in silico also suggest that the series will show promising CDK2 inhibitory activity.Conclusion: The series designed and docked can be further developed by synthesis and in vitro and in vivo activity. The receptor inhibitory activity can also be checked by specific receptor assays.


2020 ◽  
Vol 17 (5) ◽  
pp. 367-381
Author(s):  
Pintu Pathare ◽  
Sunil Tekale ◽  
Rafique Shaikh ◽  
Manoj Damale ◽  
Jaiprakash Sangshetti ◽  
...  

Background: The search for new antimicrobial drugs is a never ending task due to microbial resistance to the existing drugs. Antioxidants are essential to prevent free radical reactions which lead to chronic diseases to human kind. Objective: The present studies were aimed to synthesis, characterization, antimicrobial and antioxidant activities of pyridine and benzoisothiazole decorated chalcones. Materials and Methods: FTIR spectra were recorded using KBr pellets on Shimadzu FT-IR spectrophotometer. 1H and 13C NMR spectra were recorded on Bruker 400 MHz spectrometer. Antimicrobial activity of the synthesized chalcones was found to be good against diffenet bacterial and fungal strains. Antioxidant activity was studied in terms of 2,2-diphenyl-1-picrylhydrazyl, hydroxyI and superoxide radical scavenging activities. Molecular docking was studied using Discovery Studio Visualizer Software, version 16 whereas Autodock Vina program was used to predict toxicity profile of the compounds using FAFDrugs2 predictor. Results: The compounds 5c, 5d & 6c showed good antioxidant activities. The insilico molecular docking study supports the experimental results and demonstrated that the chalcones 5d, 6a and 7a are the most active among the synthesized derivatives. Conclusion: Prediction of pharmacokinetic parameters and molecular docking studies suggest that the synthesized chalcones have good pharmacokinetic properties to act as lead molecules in the drug discovery process.


2020 ◽  
Author(s):  
Priyanka H. Jokhakar ◽  
Rishee Kalaria ◽  
Hiren K. Patel

<p>This computational study comprises screening and prediction of interaction of selected antimalarial drug hydroxychloroquine with targeted two proteins of coronavirus. One is SARS enveloped E pantameric ion channel protein and another is SARS-CoV-2 main apoprotein protease. Both are vital for viral attachment and entry to the host cell for infection. After molecular protein docking with different confirmations, stable interacting complex of ligand and macromolecules were obtained. Interacting Lysine, Threonine and Tyrosine of E protein were found for participation of stable interaction with selected drug having docking affinity energy of -6.3kcal/mol. For apoprotein protease stable confirmation was screened out having bonding Threonine residue with same drug of energy -6.0 kcal/mol. Irreversible covalent bond formation and van der Waals interaction favours the selectivity and stability of both targeted proteins towards selected drug. Conventional as well as hydrophobic interactions are found in Ligplot and Discovery studio analysis also indicates stabilized confirmations between ligand and drug. Thus, this study delivers the putative mechanism of the drug interactions to target proteins hence comprising landmark for future investigation for antimalarial hydroxychloroquine as anti COVID 19 drug in this experimental time.</p>


2020 ◽  
Author(s):  
Priyanka H. Jokhakar ◽  
Rishee Kalaria ◽  
Hiren K. Patel

<p>This computational study comprises screening and prediction of interaction of selected antimalarial drug hydroxychloroquine with targeted two proteins of coronavirus. One is SARS enveloped E pantameric ion channel protein and another is SARS-CoV-2 main apoprotein protease. Both are vital for viral attachment and entry to the host cell for infection. After molecular protein docking with different confirmations, stable interacting complex of ligand and macromolecules were obtained. Interacting Lysine, Threonine and Tyrosine of E protein were found for participation of stable interaction with selected drug having docking affinity energy of -6.3kcal/mol. For apoprotein protease stable confirmation was screened out having bonding Threonine residue with same drug of energy -6.0 kcal/mol. Irreversible covalent bond formation and van der Waals interaction favours the selectivity and stability of both targeted proteins towards selected drug. Conventional as well as hydrophobic interactions are found in Ligplot and Discovery studio analysis also indicates stabilized confirmations between ligand and drug. Thus, this study delivers the putative mechanism of the drug interactions to target proteins hence comprising landmark for future investigation for antimalarial hydroxychloroquine as anti COVID 19 drug in this experimental time.</p>


Author(s):  
Sunil Kumar Suryawanshi ◽  
Usha Chouhan

 Objective: In this study, antimicrobial activity was predicted against novel antimicrobial target 1SDE receptor to understand the structural feature of predicted peptides using machine learning approach from Ocimum tenuiflorum. Methods: Protein sequences from O. tenuiflorum were digested using peptide cutter and further processed for the prediction of antimicrobial peptide (AMP) through AMP predictor tool of CAMP which have multidimensional algorithms such as support vector machine, artificial neural network, random forest, and discriminant analysis. After analyzing various peptides, only four peptides were predicted as antimicrobial in nature. Furthermore, the three-dimensional structure of different potential peptides was generated with the help of Pepfold-3.0 server followed by protein-peptide docking studies with novel target receptor with the help of PatchDock, FireDock webserver, and Hex 8.0 software. Interactions were further visualized using Discovery Studio Client 2.5 software tool.Results: This study revealed that peptide 2 resulted higher score in PatchDock and FireDock and also Hex 8.0 provides E total value of −430.18 which is higher than that of peptide 1 with −381.07, peptide 3 with −416.86, and peptide 4 with −407.94.Conclusion: The peptide predicted in this study has potential to act as effective AMP against target receptor and also utilize other antimicrobial target.


2021 ◽  
Vol 08 ◽  
Author(s):  
Deepa R. Bandi ◽  
SubbaRao V. Tulimilli ◽  
Durai Ananda Kumar T. ◽  
Chandi Kumari Chitturi ◽  
Anjalidevi S. Bettadapura ◽  
...  

Background: Despite various efforts in preventing and treating SARS-CoV-2 infections; transmission and mortality have been increasing at alarming rates globally. Since its first occurrence in Wuhan, China, in December 2019, the number of cases and deaths due to SARS-CoV-2 infection continues to increase across 220 countries. Currently, there are about 228 million cases and 4.6 million deaths recorded globally. Although several vaccines/drugs have been reported to prevent or treat SARS-CoV-2, their efficacy to protect against emerging variants and duration of protection are not fully known. Hence, more emphasis is given to repurpose the existing pharmacological agents to manage the infected individuals. One such agent is hydroxychloroquine (HCQ), which is a more soluble derivative of antimalarial drug chloroquine. HCQ has been tested in clinical trials to mitigate SARS-CoV-2 infection-induced complications while reducing the time to clinical recovery (TTCR). However, several concerns and questions about the utility and efficacy of HCQ for treating SARS-CoV-2 infected individuals still persist. Identifying key proteins regulated by HCQ is likely to provide vital clues required to address these concerns. Objective: The objective of this study is to identify the ability of HCQ for binding to the most widely studied molecular targets of SARS-CoV-2 viz., spike glycoprotein (S protein), and main protease (Mpro, also referred as chymotrypsin like protease) using molecular docking approaches and correlate the results with reported mechanisms of actions of HCQ. Methods: X-ray crystallographic structures of spike glycoprotein and main protease of SARS-CoV-2 were retrieved from Research Collaboratory for Structural Bioinformatics (RCSB) Protein Data Bank (PDB). The structure of Hydroxychloroquine was retrieved from the PubChem compound database. The binding interactions of the HCQ with target proteins were predicted using C-Docker algorithm, and visualized using Discovery studio visualizer. Results: Data from molecular docking studies showed very strong binding of HCQ to the main protease compared to spike glycoprotein. Conclusion: The antiviral activity of HCQ is attributed to its ability to bind to the main protease compared to surface glycoprotein. Therefore, future studies should focus more on developing a combination agent/strategy for targeting surface glycoprotein and main protease together.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Vinod P. Raphael ◽  
Shaju K. Shanmughan

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the novel coronavirus behind the fast-spreading coronavirus disease 2019 (COVID-19). Pharmaceutical researchers are currently researching medications or preventive vaccines that may be used to treat and combat the spread of COVID-19. Health practitioners all over the world are treating patients with currently available antiviral drugs, primarily the protease inhibitors used for HIV treatment. The present study mainly aims to evaluate the potencies of eight anti-HIV drugs to inhibit coronavirus protease using in silico methods. Derivation of pharmacophore, identification of hit molecules, and checking their virtual inhibition efficacies on the COVID-19 protease were also carried out in the present investigation. Classification of eight drug molecules (atazanavir, darunavir, fosamprenavir (amprenavir—metabolised product), saquinavir, lopinavir, ritonavir, nelfinavir, and indinavir) based on their molecular structures was completed and reported. The X-ray crystallographic structure of the main protease of coronavirus (SARS-CoV-2 protease) was obtained from the Protein Data Bank and prepared for computational studies using Edu PyMOL software. Docking studies were performed with AutoDock Vina software, and the results were evaluated with Discovery Studio software. The binding scores of the drugs on protease followed the order saquinavir > nelfinavir > lopinavir = indinavir > darunavir > amprenavir > ritonavir > atazanavir. Web servers such as PharmaGist and ZINCPharmer were employed to derive the 3D pharmacophore and to identify potential hit compounds, respectively. The identified hit molecules were docked with the SARS-CoV-2 protease and analysed. A detailed account of the type of interaction between the protease and the molecules is discussed. The majority of hit compounds displayed appreciable binding affinities on coronavirus protease. Three hit compounds possess structures similar to that of natural products, viz., flavonoids, and nucleoside. These molecules were hydrophilic and slightly deviated from Lipinski parameters. All other derived molecules obeyed the Lipinski rule. In vitro, in vivo, and toxicological studies of these compounds have to be performed before checking the actual druggability of these compounds.


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