THE POTENTIAL OF ROBUSTA COFFEE (COFFEA CANEPHORA) AS A COLORECTAL CANCER THERAPY MODALITY: AN IN SILICO STUDY

Objectives: This research aims to determine the efficacy of compounds in robusta coffee against colorectal cancer through the inhibition of the T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) receptor. Methods: This in silico study has been conducted in computing platform from June to August 2021. The selected test compounds would go through the Lipinski rule screening through the SwissADME website and the compounds that met these regulations would be docked to the TIGIT protein using AutoDock Tools and AutoDock Vina. The interactions with the highest binding energies were visualized using BIOVIA Discovery Studio 2020. The test compounds then underwent a toxicity profile analysis on the admetSAR 2.0 website. Results: All test compounds complied with the Lipinski rule. The molecular docking results showed the highest binding energy in kahweol and cafestol (−8.1 kcal/mol) compared to OMC (−7.9 kcal/mol), chlorogenic acid (−7.8 kcal/mol), caffeic acid (−6.3 kcal/mol), caffeine (−6.1 kcal/mol), trigonelline (−5.3 kcal/mol), HMF (−5.1 kcal/mol), furfuryl alcohol (−4.4 kcal/mol), and 5-fluorouracil as the comparator drug (−5.3 kcal/mol). Kahweol, cafestol, and 5-fluorouracil revealed the hydrophobic interactions and hydrogen bonds with amino acid residues in TIGIT. Kahweol and cafestol unveiled minimal toxicity prediction Conclusion: Kahweol and cafestol demonstrated the best results in inhibiting the TIGIT protein which played a role in colorectal cancer. In vitro and in vivo studies are needed to strengthen the findings of this research.

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Screening marine algae metabolites as high-affinity inhibitors of SARS-CoV-2 main protease (3CLpro): an in silico analysis to identify novel drug candidates to combat COVID-19 pandemic

Applied Biological Chemistry ◽

10.1186/s13765-020-00564-4 ◽

2020 ◽

Vol 63 (1) ◽

Author(s):

Ghazala Muteeb ◽

Adil Alshoaibi ◽

Mohammad Aatif ◽

Md. Tabish Rehman ◽

M. Zuhaib Qayyum

Keyword(s):

Hydrophobic Interactions ◽

In Silico Analysis ◽

Salt Bridge ◽

Competitive Inhibitor ◽

Binding Energies ◽

Dynamics Simulation ◽

In Vivo Studies ◽

Energy Calculation

AbstractThe recent dissemination of SARS-CoV-2 from Wuhan city to all over the world has created a pandemic. COVID-19 has cost many human lives and created an enormous economic burden. Although many drugs/vaccines are in different stages of clinical trials, still none is clinically available. We have screened a marine seaweed database (1110 compounds) against 3CLpro of SARS-CoV-2 using computational approaches. High throughput virtual screening was performed on compounds, and 86 of them with docking score < − 5.000 kcal mol−1 were subjected to standard-precision docking. Based on binding energies (< − 6.000 kcal mol−1), 9 compounds were further shortlisted and subjected to extra-precision docking. Free energy calculation by Prime-MM/GBSA suggested RC002, GA004, and GA006 as the most potent inhibitors of 3CLpro. An analysis of ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties of RC002, GA004, and GA006 indicated that only RC002 (callophysin A, from red alga Callophycus oppositifolius) passed Lipinski’s, Veber’s, PAINS and Brenk’s filters and displayed drug-like and lead-like properties. Analysis of 3CLpro-callophysin A complex revealed the involvement of salt bridge, hydrogen bonds, and hydrophobic interactions. callophysin A interacted with the catalytic residues (His41 and Cys145) of 3CLpro; hence it may act as a mechanism-based competitive inhibitor. Docking energy and docking affinity of callophysin A towards 3CLpro was − 8.776 kcal mol−1 and 2.73 × 106 M−1, respectively. Molecular dynamics simulation confirmed the stability of the 3CLpro-callophysin A complex. The findings of this study may serve as the basis for further validation by in vitro and in vivo studies.

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Coumarins and Quinolones as Effective Multiple Targeted Agents Versus Covid-19: An in Silico Study

Medicinal Chemistry ◽

10.2174/1573406417666210208223924 ◽

2021 ◽

Vol 17 ◽

Author(s):

Mojgan Nejabat ◽

Razieh Ghodsi ◽

Farzin Hadizadeh

Keyword(s):

Binding Affinity ◽

In Silico ◽

Oral Absorption ◽

Antiviral Agent ◽

In Vivo Studies ◽

Reference Drug ◽

Viral Proteases ◽

In Silico Study

Background: The Covid-19 virus emerged a few months ago in China and infections rapidly escalated into a pandemic. Objective: To date, there is no selective antiviral agent for the management of pathologies associated with covid-19 and the need for an effective agent against it is essential. Method: In this work two home-made databases from synthetic quinolines and coumarins were virtually docked against viral proteases (3CL and PL), human cell surface proteases (TMPRSS2 and furin) and spike proteins (S1 and S2). Chloroquine, a reference drug without a clear mechanism against coronavirus was also docked on mentioned targets and the binding affinities compared with title compounds. Result: The best compounds of synthetic coumarins and quinolines for each target were determined. All compounds against all targets showed binding affinity between -5.80 to -8.99 kcal/mol in comparison with the FDA-approved drug, Chloroquine, with binding affinity of -5.7 to -7.98 kcal/mol. Two compounds, quinoline-1 and coumarin-24, were found to be effective on three targets – S2, TMPRSS2 and furin – simultaneously, with good predicted affinity between -7.54 to -8.85 kcal/mol. In silico ADME studies also confirmed good oral absorption for them. Furthermore, PASS prediction was calculated and coumarin-24 had higher probable activity (Pa) than probable inactivity (Pi) with acceptable protease inhibitory as well as good antiviral activity against Hepatitis C virus (HCV), Human immunodeficiency virus (HIV) and influenza. Conclusion: Quinoline-1 and Coumarin-24 have the potential to be used against Covid-19. Hence these agents could be useful in combating covid-19 infection after further in vitro and in vivo studies.

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Inhibitory Perspective of New Synthesized Compounds against Angiotensin Receptor: Schrodinger-based Induced-Fit Molecular Docking

Journal of Pharmaceutical Research International ◽

10.9734/jpri/2021/v33i32a31718 ◽

2021 ◽

pp. 79-87

Author(s):

Sethy Silky ◽

Dhiman Neerupma ◽

Garg Arun

Keyword(s):

In Silico ◽

Angiotensin Receptor Blockers ◽

In Vivo Studies ◽

Angiotensin Receptor ◽

Standard Drug ◽

Lipinski’S Rule ◽

In Silico Study ◽

Receptor Blockers

Angiotensin is a hormone that plays a key role in the development of hypertension. Angiotensin-Converting Enzyme (ACE) inhibitors and Angiotensin Receptor Blockers (ARBs) are now the most often prescribed drugs to treat hypertension. The present in silico study involves exploring the antihypertensive potentials of substituted benzimidazoles and indazole compounds ARC 36, ARC 38, ARC 45, ARC 76, and ARC 77 against the most prominent molecular target Angiotensin Receptor (PDB ID: 4YAY, XFEL structure of Human Angiotensin Receptor)using the software Schrodinger Maestro .Based on glide score, ARC 45, ARC 76 and ARC77 were having the docking score of -7.461 Kcal/mol, -7.947 Kcal/mol and -6.683 Kcal/mol which is comparable to the standard drug (Telmisartan) -5.036.The compounds were further screened for Lipinski’s rule for drug-likeliness, and ADME properties. In this study we reported compounds ARC 76 and ARC38had comparable in silico parameters to the standard dug Telmisartan and hence necessitating further in vitro and in vivo studies.

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Chemical, Pharmacological and Computerized Molecular Analysis of Stem’s Extracts of Bauhinia scandens L. Provide Insights into the Management of Diarrheal and Microbial Infections

Nutrients ◽

10.3390/nu14020265 ◽

2022 ◽

Vol 14 (2) ◽

pp. 265

Author(s):

Md Minarul Islam ◽

Rashedul Alam ◽

Hea-Jong Chung ◽

Nazim Uddin Emon ◽

Mohammad Fazlul Kabir ◽

...

Keyword(s):

In Silico ◽

Fungal Infections ◽

Wide Spectrum ◽

Diffusion Method ◽

Discovery Studio ◽

In Silico Study ◽

Microbial Infections ◽

Antibacterial And Antifungal

Bauhinia scandens L. (Family: Fabaceae) is commonly used to treat cholera, diarrhea, asthma, and diabetes disorder in integrative medicine. This study aimed to screen the presence of phytochemicals (preliminary and UPLC-QTOF–M.S. analysis) and to examine the pharmacological activities of Bauhinia scandens L. stems (MEBS) stem extracts. Besides, in silico study was also implemented to elucidate the binding affinity and drug capability of the selected phytochemicals. In vivo anti diarrheal activity was investigated in mice models. In vitro, antibacterial and antifungal properties of MEBS against several pathogenic strains were evaluated using the disc diffusion method. In addition, in silico study has been employed using Discovery studio 2020, UCFS Chimera, PyRx autodock vina, and online tools. In the anti-diarrheal investigation, MEBS showed a significant dose-dependent inhibition rate in all three methods. The antibacterial and antifungal screening showed a remarkable zone of inhibition, of the diameter 14–26 mm and 12–28 mm, by MEBS. The present study revealed that MEBS has remarkable anti-diarrheal potential and is highly effective in wide-spectrum bacterial and fungal strains. Moreover, the in silico study validated the results of biological screenings. To conclude, MEBS is presumed to be a good source in treating diarrhea, bacterial and fungal infections.

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5-(Hydroxyphenyl)-γ-Valerolactone-Sulfate, a Key Microbial Metabolite of Flavan-3-ols, Is Able to Reach the Brain: Evidence from Different in Silico, In Vitro and In Vivo Experimental Models

Nutrients ◽

10.3390/nu11112678 ◽

2019 ◽

Vol 11 (11) ◽

pp. 2678 ◽

Cited By ~ 13

Author(s):

Donato Angelino ◽

Diogo Carregosa ◽

Cristina Domenech-Coca ◽

Monia Savi ◽

Inês Figueira ◽

...

Keyword(s):

In Silico ◽

Experimental Models ◽

In Vivo Studies ◽

Neuroprotective Effects ◽

Physical Chemical ◽

In Silico Study ◽

Polar Metabolites ◽

The Brain

Phenolic compounds have been recognized as promising compounds for the prevention of chronic diseases, including neurodegenerative ones. However, phenolics like flavan-3-ols (F3O) are poorly absorbed along the gastrointestinal tract and structurally rearranged by gut microbiota, yielding smaller and more polar metabolites like phenyl-γ-valerolactones, phenylvaleric acids and their conjugates. The present work investigated the ability of F3O-derived metabolites to cross the blood-brain barrier (BBB), by linking five experimental models with increasing realism. First, an in silico study examined the physical-chemical characteristics of F3O metabolites to predict those most likely to cross the BBB. Some of these metabolites were then tested at physiological concentrations to cross the luminal and abluminal membranes of brain microvascular endothelial cells, cultured in vitro. Finally, three different in vivo studies in rats injected with pure 5-(3′,4′-dihydroxyphenyl)-γ-valerolactone, and rats and pigs fed grapes or a F3O-rich cocoa extract, respectively, confirmed the presence of 5-(hydroxyphenyl)-γ-valerolactone-sulfate (3′,4′ isomer) in the brain. This work highlighted, with different experimental models, the BBB permeability of one of the main F3O-derived metabolites. It may support the neuroprotective effects of phenolic-rich foods in the frame of the “gut-brain axis”.

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The potential role of caffeic acid in coffee as cyclooxygenase-2 (COX-2) inhibitor: in silico study

Biointerface Research in Applied Chemistry ◽

10.33263/briac95.424427 ◽

2019 ◽

Vol 9 (5) ◽

pp. 4424-4427 ◽

Cited By ~ 1

Keyword(s):

Caffeic Acid ◽

In Silico ◽

Positive Impact ◽

The Body ◽

Ligand Interaction ◽

Discovery Studio ◽

In Silico Study ◽

Cox 2

Caffeic acid was formed from hydrolyzation chlorogenic acid caused roasting coffee. Caffeic acid has anti-inflammatory properties by in vitro and in vivo analysis. Inflammation is the body will be activator COX-2 as mediator inflammation. This study purpose to prediction, investigate and analyze caffeic acid as potential theuraphic to inhibit COX-2 by in silico study. The method of this research using in silico compound interaction models. COX-2 Protein data was taken from Protein Data Bank, caffeic acid from PubChem. Protein-ligand interaction docking using HEX 8.0.0. Although visualization and analysis of the molecular interactions of caffeic acid and COX-2 conducted by the Discovery Studio software 4.1. Caffeic acid is a potential therapist because easily absorbed and has high permeability. The results show that interacted between COX-2 and caffeic acid. The interactions showed by seven amino acid residues, which bind with the caffeic acid with hydrogen bond type. Energy binding formed from ligand and protein -210.23cal/mol. Interaction caffeic acid and COX-2 has a positive impact which potential as inhibitor COX-2.

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Recent In Vitro and In Silico Advances in the Understanding of Intranasal Drug Delivery

Current Pharmaceutical Design ◽

10.2174/1381612826666201112143230 ◽

2020 ◽

Vol 26 ◽

Author(s):

John Chen ◽

Andrew Martin ◽

Warren H. Finlay

Keyword(s):

Drug Delivery ◽

In Silico ◽

Local Drug Delivery ◽

In Vivo Studies ◽

Intranasal Drug Delivery ◽

Nasal Sprays ◽

In Silico Studies ◽

Drug Delivery Devices

Background: Many drugs are delivered intranasally for local or systemic effect, typically in the form of droplets or aerosols. Because of the high cost of in vivo studies, drug developers and researchers often turn to in vitro or in silico testing when first evaluating the behavior and properties of intranasal drug delivery devices and formulations. Recent advances in manufacturing and computer technologies have allowed for increasingly realistic and sophisticated in vitro and in silico reconstructions of the human nasal airways. Objective: To perform a summary of advances in understanding of intranasal drug delivery based on recent in vitro and in silico studies. Conclusion: The turbinates are a common target for local drug delivery applications, and while nasal sprays are able to reach this region, there is currently no broad consensus across the in vitro and in silico literature concerning optimal parameters for device design, formulation properties and patient technique which would maximize turbinate deposition. Nebulizers are able to more easily target the turbinates, but come with the disadvantage of significant lung deposition. Targeting of the olfactory region of the nasal cavity has been explored for potential treatment of central nervous system conditions. Conventional intranasal devices, such as nasal sprays and nebulizers, deliver very little dose to the olfactory region. Recent progress in our understanding of intranasal delivery will be useful in the development of the next generation of intranasal drug delivery devices.

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In-silico Studies of Isolated Phytoalkaloid Against Lipoxygenase: Study Based on Possible Correlation

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/1386207321666180220125406 ◽

2018 ◽

Vol 21 (3) ◽

pp. 215-221

Author(s):

Haroon Khan ◽

Muhammad Zafar ◽

Helena Den-Haan ◽

Horacio Perez-Sanchez ◽

Mohammad Amjad Kamal

Keyword(s):

In Silico ◽

Docking Studies ◽

In Vivo Studies ◽

In Vitro Assays ◽

Chronic Obstructive ◽

Lipoxygenase Inhibitors ◽

Lipoxygenase Inhibition ◽

In Silico Studies

Aim and Objective: Lipoxygenase (LOX) enzymes play an important role in the pathophysiology of several inflammatory and allergic diseases including bronchial asthma, allergic rhinitis, atopic dermatitis, allergic conjunctivitis, rheumatoid arthritis and chronic obstructive pulmonary disease. Inhibitors of the LOX are believed to be an ideal approach in the treatment of diseases caused by its over-expression. In this regard, several synthetic and natural agents are under investigation worldwide. Alkaloids are the most thoroughly investigated class of natural compounds with outstanding past in clinically useful drugs. In this article, we have discussed various alkaloids of plant origin that have already shown lipoxygenase inhibition in-vitro with possible correlation in in silico studies. Materials and Methods: Molecular docking studies were performed using MOE (Molecular Operating Environment) software. Among the ten reported LOX alkaloids inhibitors, derived from plant, compounds 4, 2, 3 and 1 showed excellent docking scores and receptor sensitivity. Result and Conclusion: These compounds already exhibited in vitro lipoxygenase inhibition and the MOE results strongly correlated with the experimental results. On the basis of these in vitro assays and computer aided results, we suggest that these compounds need further detail in vivo studies and clinical trial for the discovery of new more effective and safe lipoxygenase inhibitors. In conclusion, these results might be useful in the design of new and potential lipoxygenase (LOX) inhibitors.

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Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning

Molecules ◽

10.3390/molecules26092505 ◽

2021 ◽

Vol 26 (9) ◽

pp. 2505

Author(s):

Raheem Remtulla ◽

Sanjoy Kumar Das ◽

Leonard A. Levin

Keyword(s):

Machine Learning ◽

Neural Networks ◽

In Silico ◽

Disulfide Bonds ◽

Oral Absorption ◽

In Vivo Studies ◽

Drug Candidates ◽

In Silico Methods

Phosphine-borane complexes are novel chemical entities with preclinical efficacy in neuronal and ophthalmic disease models. In vitro and in vivo studies showed that the metabolites of these compounds are capable of cleaving disulfide bonds implicated in the downstream effects of axonal injury. A difficulty in using standard in silico methods for studying these drugs is that most computational tools are not designed for borane-containing compounds. Using in silico and machine learning methodologies, the absorption-distribution properties of these unique compounds were assessed. Features examined with in silico methods included cellular permeability, octanol-water partition coefficient, blood-brain barrier permeability, oral absorption and serum protein binding. The resultant neural networks demonstrated an appropriate level of accuracy and were comparable to existing in silico methodologies. Specifically, they were able to reliably predict pharmacokinetic features of known boron-containing compounds. These methods predicted that phosphine-borane compounds and their metabolites meet the necessary pharmacokinetic features for orally active drug candidates. This study showed that the combination of standard in silico predictive and machine learning models with neural networks is effective in predicting pharmacokinetic features of novel boron-containing compounds as neuroprotective drugs.

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