scholarly journals De-novo Drug Design, Molecular Docking and In-Silico Molecular Prediction of AChEI Analogues through CADD Approaches as Anti-Alzheimer’s Agents

2020 ◽  
Vol 16 (1) ◽  
pp. 54-72 ◽  
Author(s):  
Surabhi Pandey ◽  
B.K. Singh
Keyword(s):  
Molecular Docking ◽  
Drug Design ◽  
Inhibitory Activity ◽  
In Silico ◽  
Active Sites ◽  
De Novo ◽  
Docking Studies ◽  
Target Protein ◽  
Design And Development ◽  
Reference Drug

Background: There are over 44 million persons who suffer with Alzheimer’s disease (AD) worldwide, no existence of cure and only symptomatic treatments are available for it. The aim of this study is to evaluate the anti-Alzheimer potential of designed AChEI analogues using computer simulation docking studies. AChEIs are the most potential standards for treatment of AD, because they have proven efficacy. Among all AChEIs donepezil possesses lowest adverse effects, it can treat mildmoderate- severe AD and only once-daily dosing is required. Therefore, donepezil is recognized as a significant prototype for design and development of new drug molecule. Methods: In this study the Inhibitory potential of the design compounds on acetylcholinesterase enzyme has been evaluated. Docking studies has been performed which further analyzed by in-silico pharmacokinetic evaluation through pharmacopredicta after that Interaction modes with enzyme active sites were determined. Docking studies revealed that there is a strong interaction between the active sites of AChE enzyme and analyzed compounds. Results: As a result 26 compounds have been indicates better inhibitory activity on AChE enzyme and all the screening parameters have also been satisfied by all 26 compounds. From these 26 compounds, six compounds 17, 18, 24, 30, 36 and 56 are found to be the most potent inhibitors of this series by insilico study through INVENTUS v 1.1 software, having highest bio-affinities i.e. - 8.51, - 7.67, - 8.30, - 7.59, - 8.71 and -7.62 kcal/mol respectively, while the standard or reference drug donepezil had binding affinity of - 6.32 kcal/mol. Conclusion: Computer aided drug design approach has been playing an important role in the design and development of novel anti- AD drugs. With the help of structure based drug design some novel analogues of donepezil have been designed and the molecular docking studies with structure based ADME properties prediction studies is performed for prediction of AChE inhibitory activity. The binding mode of proposed compounds with target protein i.e. AChE has been evaluated and the resulting data from docking studies explains that all of the newly designed analogues had significantly high affinity towards target protein compared to donepezil as a reference ligand.

scholarly journals Synthesis, Characterization, Biological Screening, ADME and Molecular Docking Studies of 2-Phenyl Quinoline-4-Carboxamide Derivatives

2020 ◽  
Vol 32 (5) ◽  
pp. 1151-1157 ◽  
Author(s):  
P. Raghurama Shetty ◽  
G. Shivaraja ◽  
G. Krishnaswamy ◽  
K. Pruthviraj ◽  
Vivek Chandra Mohan ◽  
...  
Keyword(s):  
Antibacterial Activity ◽  
Molecular Docking ◽  
Anticancer Activity ◽  
In Silico ◽  
Active Sites ◽  
Docking Studies ◽  
Spectrometric Analysis ◽  
Molecular Docking Studies ◽  
In Vitro Investigation

In this work, some 2-phenyl quinoline-4-carboxamide derivatives (5a-j) were synthesized via base catalyzed Pfitzinger reaction of isatin and acetophenone followed by C-N coupling reaction using POCl3 and assessed them for their in vitro antimicrobial and anticancer activity. The structure of newly synthesized compound were established by FT-IR, 1H & 13C NMR and Mass spectrometric analysis. The synthesized carboxamides were subjected to preliminary in vitro antibacterial activity as well as for antifungal activity. Results of antibacterial activity were compared with standard antibacterial (ciprofloxocin) and antifungal (fluconozole). Among the tested compounds, 5d, 5f and 5h exhibited promising activity with zone of inhibition ranging from 10 to 25 mm. Further, the anticancer activity determined using MTT assay against two cancer cell lines. Compounds 5b, 5d, 5f and 5h showed good anticancer activity among all the other derivatives. In order to correlate the in vitro results, in silico ADME and Molecular docking studies were carried out for (5a-j). ADME properties results showed that all the compounds obey rule of Five rule except 5a, 5e and 5g compound. Molecular docking studies of the synthesized compounds showed good binding affinity through hydrogen bond interactions with key residues on active sites as well as neighboring residues within the active site of chosen target proteins viz. antibacterial, antifungal and anticancer. Comparison of both results of in silico as well as in vitro investigation suggests that the synthesized compounds may act as potential antimicrobial as well as anticancer agents.

scholarly journals in silico Design, ADME Prediction, Molecular Docking, Synthesis of Novel Triazoles, Indazoles & Aminopyridines and in vitro Evaluation of Antitubercular Activity

2020 ◽  
Vol 32 (11) ◽  
pp. 2713-2721
Author(s):  
S. Triveni ◽  
C. Naresh Babu ◽  
E. Bhargav ◽  
M. Vijaya Jyothi
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Molecular Docking ◽  
Drug Design ◽  
In Silico ◽  
Antitubercular Activity ◽  
Docking Studies ◽  
Luciferase Reporter ◽  
Assay Method ◽  
Adme Prediction

To design and synthesize novel triazoles, indazoles and aminopyridines from various (thiophene-2-yl)prop-2-en-1-one derivatives as antitubercular leads by in silico and in vitro methods. in silco Drug design, ADME prediction and molecular docking studies were performed to assess drug likeliness and antitubercular potential of all 30 novel triazoles, indazoles and aminopyridines. in silico Drug design studies revealed that the synthetic routes applied were appropriate according to the calculations of Swiss-ADME that measure synthetic accessibility. Most of the synthesized compounds found to have considerable binding score with enoyl ACP reductase enzyme of Mycobacterium tuberculosis. All the synthesized compounds were evaluated for antitubercular potential against Drug Resistant Mycobacterium tuberculosis H37Rv strain by Luciferase reporter assay method. Most of the synthesized compounds exhibited remarkable antitubercular potential against resistant strain.

scholarly journals N-(5-Morpholino-2-arylimidazo[2,1-b][1,3,4]thiadiazol-6-yl)carboxamides as Potential Fer/FerT Kinase Inhibitors. Homology Modeling, Molecular Docking Studies and In Silico ADMET Profiling

2021 ◽  
Vol 11 (6) ◽  
pp. 14413-14432
Keyword(s):  
Molecular Docking ◽  
Comparative Analysis ◽  
Homology Modeling ◽  
In Silico ◽  
Kinase Inhibitors ◽  
Docking Studies ◽  
Experimental Conditions ◽  
Reference Drug ◽  
Modeling Methods ◽  
In Silico Admet

This study has comparatively evaluated the degree of affinity of N-(5-morpholino-2-arylimidazo[2,1-b][1,3,4]thiadiazol-6-yl)carboxamides 2a-f and 6-(4-isopropylphenyl)-2-(4-((4-methylpiperazin-1-yl)methyl)piperidin-1-yl)imidazo[2,1-b][1,3,4]thiadiazole (E260) to Fer kinase using molecular modeling methods. The Fer kinase model has been generated by homology modeling. It has been shown that compounds 2a-f predominantly form stronger complexes with this enzyme than the reference drug E260. In silico ADMET prediction of the properties of compounds 2a-f and E260 has been carried out. Comparative analysis of the obtained results has shown that compounds 2a-f are not inferior to the reference drug - E260 and even surpass it in most parameters. All examined compounds 2a-f have shown good results under in silico experimental conditions and can be recommended for further study on tumor cell cultures.

Biological evaluation and docking studies of some benzoxazole derivatives as inhibitors of acetylcholinesterase and butyrylcholinesterase

2016 ◽  
Vol 71 (11-12) ◽  
pp. 409-413 ◽  
Author(s):  
Ozlem Temiz-Arpaci ◽  
Mustafa Arisoy ◽  
Duygu Sac ◽  
Fatima Doganc ◽  
Meryem Tasci ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Protein Interactions ◽  
Broad Spectrum ◽  
Active Site ◽  
Inhibitory Activity ◽  
Docking Studies ◽  
Biological Evaluation ◽  
Molar Concentration ◽  
Reference Drug ◽  
Similar Activity

Abstract A series of 2,5-disubstituted-benzoxazole derivatives (1–13) were evaluated as possible inhibitors of acetylcholinesterase (AChE) and butyrylcholinesterase (BChE). The results demonstrated that the compounds exhibited a broad spectrum of AChE and BChE inhibitory activity ranging between 6.80% and 90.21% except one compound which showed no activity against AChE at the specified molar concentration. Another derivative displayed a similar activity to that of reference drug (galanthamine) for inhibition of AChE and BChE. In addition, molecular docking of the compounds into active site of AChE was performed using recombinant human AChE (PDB ID: 4ey6) in order to understand ligand–protein interactions.

Design and development of novel antibiotics based on FtsZ inhibition – in silico studies

2018 ◽  
Vol 42 (13) ◽  
pp. 10976-10982 ◽  
Author(s):  
Aleksandar M. Veselinović ◽  
Andrey Toropov ◽  
Alla Toropova ◽  
Dobrila Stanković-Đorđević ◽  
Jovana B. Veselinović
Keyword(s):  
Molecular Docking ◽  
Drug Design ◽  
In Silico ◽  
Design And Development ◽  
Computer Aided Drug Design ◽  
In Silico Studies ◽  
Computer Aided ◽  
Qsar Models ◽  
Ftsz Inhibitors ◽  
Novel Antibiotics

QSAR models, computer-aided drug design and the application of molecular docking were used to evaluate benzamide analogues as FtsZ inhibitors.

Structure Based Drug Design and Molecular Docking Studies of Anticancer Molecules Paclitaxel, Etoposide and Topotecan using Novel Ligands

2020 ◽  
Vol 17 (2) ◽  
pp. 183-190
Author(s):  
Manisha Yadav ◽  
Swasti Dhagat ◽  
Jujjavarapu S. Eswari
Keyword(s):  
Molecular Docking ◽  
Drug Design ◽  
In Silico ◽  
Target Protein ◽  
Cancer Drugs ◽  
Docking Score ◽  
In Silico Drug Design ◽  
Effective Manner ◽  
Anti Cancer

Background: Tubulin is the biochemical target for several clinically used anticancer drugs as it helps in the formation of mitotic spindle during mitosis stage of cell division. Many of the anti-cancer drugs are known to interact with tubulin and microtubules including some plant alkaloids, such as paclitaxel, etoposide and topotecan. In silico drug design of these molecules were performed prior to testing these drugs in vitro. In silico drug design of these anti-cancer drugs becomes a challenge due to the complex structure of target protein. This challenge was overcome by predicting the structure of the target protein (tubulin) by homology modeling. Methods: In this study, computer aided drug designing approach was applied to predict the suitable docking site in target protein and the interaction of tubulin protein with paclitaxel, etoposide and topotecan was explored by molecular docking using Schrödinger software. Docking score and glide energy were determined with ligands to validate their anticancer properties. Results: The results indicate that etoposide is the best drug for tubulin with a docking score of - 4.916 and glide energy of -46.470 kcal/mol compared to paclitaxel and topotecan. Conclusion: The testing of these drugs in silico provides an alternate to in vitro testing of these molecules on cancer cell lines which is a time and cost intensive process. The in silico study of parameters, such as docking score and glide energy, will help pharmacists in developing new molecules as targets for cancers in a time and cost-effective manner.

Lead Finding from Selected Flavonoids with Antiviral (SARS-CoV-2) Potentials against COVID-19: An in-silico Evaluation

2020 ◽  
Vol 23 ◽  
Author(s):  
Uma Sankar Gorla ◽  
GSN Koteswara Rao ◽  
Uma Sankar Kulandaivelu ◽  
Rajasekhar Reddy Alavala ◽  
Siva Prasad Panda
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Active Sites ◽  
Therapeutic Potential ◽  
Docking Studies ◽  
Biochanin A ◽  
High Morbidity ◽  
Structure Based Drug Design ◽  
Molecular Docking Studies ◽  
In Silico Molecular Docking

Background: COVID-19, a pandemic respiratory contagious viral (SARS-CoV-2) disease associated with high morbidity and mortality worldwide. Currently, there areno effective preventive or treatment strategies for COVID-19 and has been declared as a global health emergency by WHO. In silico molecular docking studies can be useful to predict the binding affinity between the phytocompound and the target protein and play a vital role in finding an inhibitor through structure-based drug design. Objective: In this aspect, our objective was to screen essential flavonoids against possible protein targets such as SARS-CoV-2 spike glycoprotein receptor binding domain (RBD-S) and host Angiotensin Converting Enzyme-2 protease domain (PD-ACE-2) using in silico molecular docking studies. Methods: Approximately 49 flavonoids were identified, evaluated for their drug likeness based on Lipinski rule, bioactivity scores, antiviral and toxicity profiles using SwissADME, Molinspiration, PASS and GUSAR online tools. The flavonoids that passed Lipinski rule were subjected to in silico analysis through molecular docking on RBD-S and PD-ACE-2 using Molegro Virtual Docker v6.0. Results: The bioactive flavonoids that showed NIL violations and found in compliance with Lipinski rule were selected for docking studies. In silicoanalysis reported that biochanin A and silymarin bind significantly at the active sites of RBD-Sand PD-ACE-2 with a MolDock score of -78.41and -121.28 kcal/mol respectively. Bioactivity scores, antiviral potential and tox-icity profiles were predicted for the top interacting phytocompounds and substantial relevant data was reported. Conclusion: The current outcomes created a new paradigm in understanding biochanin A and silymarin bioflavonoids as potent inhibitors of RBD-Sand PD-ACE-2 targets respectively, further work can be extended to confirm their therapeutic potential in COVID-19.

Promising Anti-stroke Signature of Voglibose: Investigation through In- Silico Molecular Docking and Virtual Screening in In-Vivo Animal Studies

2020 ◽  
Vol 20 (3) ◽  
pp. 223-235
Author(s):  
Pooja Shah ◽  
Vishal Chavda ◽  
Snehal Patel ◽  
Shraddha Bhadada ◽  
Ghulam Md. Ashraf
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
In Silico ◽  
Reductase Activity ◽  
Infarct Volume ◽  
Docking Studies ◽  
Serum Glucose ◽  
In Vivo Studies ◽  
In Silico Molecular Docking

Background: Postprandial hyperglycemia considered to be a major risk factor for cerebrovascular complications. Objective: The current study was designed to elucidate the beneficial role of voglibose via in-silico in vitro to in-vivo studies in improving the postprandial glycaemic state by protection against strokeprone type 2 diabetes. Material and Methods: In-Silico molecular docking and virtual screening were carried out with the help of iGEMDOCK+ Pymol+docking software and Protein Drug Bank database (PDB). Based on the results of docking studies, in-vivo investigation was carried out for possible neuroprotective action. T2DM was induced by a single injection of streptozotocin (90mg/kg, i.v.) to neonates. Six weeks after induction, voglibose was administered at the dose of 10mg/kg p.o. for two weeks. After eight weeks, diabetic rats were subjected to middle cerebral artery occlusion, and after 72 hours of surgery, neurological deficits were determined. The blood was collected for the determination of serum glucose, CK-MB, LDH and lipid levels. Brains were excised for determination of brain infarct volume, brain hemisphere weight difference, Na+-K+ ATPase activity, ROS parameters, NO levels, and aldose reductase activity. Results: In-silico docking studies showed good docking binding score for stroke associated proteins, which possibly hypotheses neuroprotective action of voglibose in stroke. In the present in-vivo study, pre-treatment with voglibose showed a significant decrease (p<0.05) in serum glucose and lipid levels. Voglibose has shown significant (p<0.05) reduction in neurological score, brain infarct volume, the difference in brain hemisphere weight. On biochemical evaluation, treatment with voglibose produced significant (p<0.05) decrease in CK-MB, LDH, and NO levels in blood and reduction in Na+-K+ ATPase, oxidative stress, and aldose reductase activity in brain homogenate. Conclusion: In-silico molecular docking and virtual screening studies and in-vivo studies in MCAo induced stroke, animal model outcomes support the strong anti-stroke signature for possible neuroprotective therapeutics.

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