Prediction Mechanism of Nevadensin as Antibacterial Agent against S. sanguinis: In vitro and In silico Studies

2021 ◽  
Vol 24 ◽  
Author(s):  
Aldina Amalia Nur Shadrina ◽  
Yetty Herdiyati ◽  
Ika Wiani ◽  
Mieke Hemiawati Satari ◽  
Dikdik Kurnia
Keyword(s):  
Antibacterial Activity ◽  
Molecular Docking ◽  
Dental Caries ◽  
Binding Affinity ◽  
In Silico ◽  
Antibacterial Agent ◽  
In Silico Analysis ◽  
Dna Gyrase ◽  
Silico Analysis

Background: Streptococcus sanguinis can contribute to tooth demineralization, which can lead to dental caries. Antibiotics used indefinitely to treat dental caries can lead to bacterial resistance. Discovering new antibacterial agents from natural products like Ocimum basilicum will help combat antibiotic resistance. In silico analysis (molecular docking) can help determine the lead compound by studying the molecular interaction between the drug and the target receptor (MurA enzyme and DNA gyrase). It is a potential candidate for antibacterial drug development. Objective: The research objective is to isolate the secondary metabolite of O. basilicum extract that has activity against S. sanguinis through in vitro and in silico analysis. Methods: n-Hexane extract of O. basilicum was purified by combining column chromatography with bioactivity-guided. The in vitro antibacterial activity against S. sanguinis was determined using the disc diffusion and microdilution method, while molecular docking simulation of nevadensin (1) with MurA enzyme and DNA gyrase was performed used PyRx 0.8 program. Results: Nevadensin from O. basilicum was successfully isolated and characterized by spectroscopic methods. This compound showed antibacterial activity against S. sanguinis with MIC and MBC values of 3750 and 15000 μg/mL, respectively. In silico analysis showed that the binding affinity to MurA was -8.5 Kcal/mol, and the binding affinity to DNA gyrase was -6.7 Kcal/mol. The binding of nevadensin-MurA is greater than fosfomycin-MurA. Otherwise, Nevadensin-DNA gyrase has a weaker binding affinity than fluoroquinolone-DNA gyrase and chlorhexidine-DNA gyrase. Conclusion: Nevadensin showed potential as a new natural antibacterial agent by inhibiting the MurA enzyme rather than DNA gyrase.

scholarly journals Design, Molecular Docking And In Silico Analysis Of Analogues Of Chloroquine And Hydroxychloroquine Against SARs-COV-2 Target (6w63.pdb)

2020 ◽  
Author(s):  
Naruka Solomon Yakubu ◽  
Olanike Catherine Poyi ◽  
Ezikiel Olabisi Afolabi
Keyword(s):  
Binding Affinity ◽  
In Silico ◽  
Target Prediction ◽  
In Silico Analysis ◽  
Docking Studies ◽  
Biologically Active ◽  
Dynamic Simulations ◽  
Comparable Activity ◽  
Silico Analysis

Abstract Computer-aided drug design has been an effective strategy and approach to discover, develop, analyze, accelerate and economize design and development of drugs and biologically active molecules. A total of twelve analogues of chloroquine (CQ) and hydroxychloroquine (HCQ) were designed and virtually analyzed using PyRx software, Molinspiration, Swiss ADME, Swiss-Target Prediction software and ProTox-II-Prediction of toxicity platform. Based on the docking studies carried out using Autodock vina, five analogues; H-368 (-6.0 Kcal/mol), H-372 (--6.0 Kcal/mol), H-156 (-5.9 Kcal/mol), H-139 (-5.7 Kcal/mol), C-136 (-5.7 Kcal/mol) exhibited higher binding affinity compared to HCQ(-5.5 Kcal/mol), while all twelve analogues exhibited higher binding affinity compared to CQ (-4.5Kcal/mol). In silico analysis of toxicity profile of this analogues shows a lower potential to toxicity and a comparable activity on some major isoforms of cytochrome P450. But unlike the parent molecules, both H-139 and H-156 are substrates of P-glycoproteins (P-gp) which implies that these analogues possess high clearance and less pharmacokinetic-related drug-drug interactions compared to the parent molecules. Herein we propose these analogues as potential inhibitors or lead compounds against the coronavirus with a view of conducting more molecular dynamic simulations, synthesizing and conducting in vitro studies on them.

scholarly journals In Silico Analysis of Laccifer Lacca as a Potential Therapeutic Agent for Cervical, Breast and Lung Cancers

2021 ◽  
Vol 11 (3) ◽  
pp. 79-85
Author(s):  
Ashish Kumar ◽  
Neeraj Kumar ◽  
Balwan Singh
Keyword(s):  
Nitric Oxide ◽  
Molecular Docking ◽  
In Silico ◽  
A549 Cells ◽  
In Silico Analysis ◽  
Wide Range ◽  
Anticancer Therapeutics ◽  
Anti Inflammatory ◽  
Silico Analysis

Laccifer lacca has generally been used as pigmenting, coloring agent and dying in chemical industry. Although, it has wide range of industrial applications, but inappropriately, due to lesser availability of data, it has been ignored. Keeping in mind, the wide application of Laccifer lacca, we tried to report the in-silico anti-cancer effects. The experimental techniques used to determine the structure was X-RAY diffraction. The reported resolution of this entry is 2.80 Å. Percentile scores (ranging between 0-100) for global authentication metrics of the record. In silico have a good pool to explore various parameters in molecular docking. We have performed in silico analysis of the active components of Laccifer lacca against the cervical, breast and lung cancer proteins and also found that lac extract enhances the production of anti-inflammatory markers and the increase is significant when compared to the standard vinblastine. It has been demonstrated by Lala and colleagues that a short lived molecule nitric oxide can result in the progression of human tumours. Therefore, the prominent antioxidant activity of phytochemical that can act as inhibitors of nitric oxide production can act as anticancer therapeutics. Both methanolic and aqueous extract shows significant anticancer effect on the hela, MCF-7 & A549 cells suggesting them as potential anticancer therapeutics for future. Keywords: Laccifer lacca, In-vitro & In-silico analysis, Carcinogenesis, Anti-inflammatory, Molecular Docking.

scholarly journals Eco-Friendly Synthesis, Biological Evaluation, and In Silico Molecular Docking Approach of Some New Quinoline Derivatives as Potential Antioxidant and Antibacterial Agents

2021 ◽  
Vol 9 ◽  
Author(s):  
Ahmed M. El-Saghier ◽  
Mohamed El-Naggar ◽  
Abdel Haleem M. Hussein ◽  
Abu-Bakr A. El-Adasy ◽  
M. Olish ◽  
...  
Keyword(s):  
Antibacterial Activity ◽  
Molecular Docking ◽  
In Silico ◽  
Antibacterial Agents ◽  
Dna Gyrase ◽  
Biological Evaluation ◽  
Quinoline Derivatives ◽  
One Pot ◽  
Solvent Free Conditions

A new series of quinoline derivatives 5–12 were efficiently synthesized via one-pot multicomponent reaction (MCR) of resorcinol, aromatic aldehydes, β-ketoesters, and aliphatic/aromatic amines under solvent-free conditions. All products were obtained in excellent yields, pure at low-cost processing, and short time. The structures of all compounds were characterized by means of spectral and elemental analyses. In addition, all the synthesized compounds 5–12 were in vitro screened for their antioxidant and antibacterial activity. Moreover, in silico molecular docking studies of the new quinoline derivatives with the target enzymes, human NAD (P)H dehydrogenase (quinone 1) and DNA gyrase, were achieved to endorse their binding affinities and to understand ligand–enzyme possible intermolecular interactions. Compound 9 displayed promising antioxidant and antibacterial activity, as well as it was found to have the highest negative binding energy of -9.1 and -9.3 kcal/mol for human NAD (P)H dehydrogenase (quinone 1) and DNA gyrase, respectively. Further, it complied with the Lipinski’s rule of five, Veber, and Ghose. Therefore, the quinoline analogue 9 could be promising chemical scaffold for the development of future drug candidates as antioxidant and antibacterial agents.

scholarly journals In silico analysis, synthesis and biological evaluation of DHFR inhibitors

Folia Medica ◽  
2021 ◽  
Vol 63 (5) ◽  
pp. 745-759
Author(s):  
Chaitali Lad ◽  
Ishan Panchal ◽  
Ashish Patel ◽  
Afzal Nagani ◽  
Vruti Parikh ◽  
...  
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Antimalarial Activity ◽  
In Silico Analysis ◽  
Protozoan Parasite ◽  
Biological Evaluation ◽  
Piperazine Derivatives ◽  
Dhfr Inhibitors ◽  
Silico Analysis

Introduction: Malaria is one of the varieties of fatal diseases caused by a protozoan parasite that is now considered to be the greatest global health challenge. A parasite of Plasmodium species triggers it transmitting the disease to humans by the bites of female Anopheles mosquitoes. Aim: To screen out designed molecules by molecular docking analysis and assess their pharmacokinetic properties using SwissADME. To synthesize the designed compounds. To characterize the synthesized compounds by TLC, melting point, IR spectroscopy, mass spectrometry, 1H NMR, and 13C NMR. To evaluate the synthesized compounds for antimalarial activity. Materials and methods: In silico analysis was performed with SWISSADME, and molecular docking was performed by AutoDock Vina version 4.2. In vitro antimalarial activity study was performed. Results: In-vitro studies of synthesized molecules showed that compounds C2 (IC50 1.23), C6 (IC50 0.48), C10 (IC50 0.79), and C14 (IC50 0.19) possess good antimalarial activity. Conclusions: 7-chloroquinoline-piperazine derivatives exhibited potential antimalarial compounds for pf-DHFR inhibitors.

scholarly journals An in vitro and in silico evaluation of the antibacterial activity of the bioactive compounds in Majapahit (Crescentia cujete L.) fruit

2019 ◽  
Vol 12 (12) ◽  
pp. 1959-1965
Author(s):  
Sri Rahmaningsih ◽  
Hernik Pujiastutik
Keyword(s):  
Antibacterial Activity ◽  
In Silico ◽  
Antibacterial Agent ◽  
Cell Damage ◽  
In Silico Analysis ◽  
Bioactive Constituents ◽  
Fruit Extract ◽  
Crescentia Cujete ◽  
Vitro Analysis

Background and Aim: Majapahit (Crescentia cujete L.) fruit extract acts as a natural antibacterial agent due to its bioactive constituents such as tannins, flavonoids, triterpenoids, and saponins. The aim of this study was to determine the antibacterial activity of Majapahit fruit against Vibrio harveyi both in vitro and in silico. Materials and Methods: Column chromatography, minimum inhibitory concentration (MIC) determination, and transmission electron microscopy (TEM) were used for in vitro analysis. In silico analysis was performed using PubChem® database, Pass Online (Way2Drug.com©), Search Tool 17 Interacting Chemicals (STITCH), and UNIPROT database (https://www.uniprot.org/). Results: The MIC was found to be 0.313 mg/mL. Within the concentration range of 0.313 mg/mL-10 mg/mL, Majapahit fruit extract could inhibit the growth of V. harveyi, while lower concentrations of 0.078 mg/mL and 0.165 mg/mL indicated the presence of bacterial growth. The pathogenic mechanism of V. harveyi on vannamei shrimp (Litopenaeus vannamei) involved targeting cytochrome P450, cyclin-dependent kinase 6, and caspases 3 and 8. This was indicated by cell damage observed through TEM. Conclusion: This study provides comprehensive results on the potential of Majapahit fruit as a natural antibacterial agent. Thus, Majapahit fruit can be considered for functional food applications.

scholarly journals Ayurvedic Medicinal Plants Against COVID-19: An In Silico Analysis

2021 ◽  
Vol 16 (11) ◽  
pp. 1934578X2110567
Author(s):  
Bharat Krushna Khuntia ◽  
Vandna Sharma ◽  
Sahar Qazi ◽  
Soumi Das ◽  
Shruti Sharma ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Medicinal Plants ◽  
Binding Affinity ◽  
In Silico ◽  
In Silico Analysis ◽  
Cyperus Rotundus ◽  
Effective Control ◽  
Picrorhiza Kurroa ◽  
Silico Analysis

Even after one and a half years since the outbreak of COVID-19, its complete and effective control is still far from being achieved despite vaccination drives, symptomatic management with available drugs, and wider lockdowns. This has inspired researchers to screen potential phytochemicals from medicinal plants against SARS-CoV-2, adopting a bio-informatics approach. The current study aimed to assess anti-viral activity of the phytochemicals derived from Ayurvedic medicinal plants against SARS-CoV-2 drug targets [3-chymotrypsin-like protease (3CLpro) and RNA dependent RNA polymerase (RdRp)] using validated in silico methods.3D Structures of 196 phytochemicals from three Ayurvedic plants were retrieved from PubChem and KNApSAcK databases and screened for Absorption Distribution Metabolism Excretion and Toxicity(ADMET) to predict drug-likeness. The phytochemicals were subjected to molecular docking and only three showed promise: Acetovanillonewith a binding affinity of −4.7Kcal/mol with RdRp and −4.1 Kcal/mol with 3CL pro; myrtenol with equivalent values of −4.3 Kcal/mol with RdRP and −3.2 Kcal/mol with 3CLpro; and nimbochalcin with equivalent values of −5.0Kcal/mol with RdRp and −4.9 Kcal/mol with 3CLpro. Molecular dynamics simulation (50ns) analysis was made of 3CLpro and RdRp using Autodock Vina 1.1.2 software and VMD software. After ADMET analysis, 78 phytochemicals were found suitable for molecular docking. Three, namely acetovanillone, myrtenol and nimbochalcin from Picrorhiza kurroa, Azadirachta indica and Cyperus rotundus,respectively,exhibited good binding affinity with 3CLproand RdRp of SARS-CoV-2. Interaction analysis, molecular dynamics simulations and MM-PBSA calculations were executed for two complexes, acetovanillone_RdRp and myrtenol_3CL pro.Acetovanillone_RdRpcomplex did not display any structural change after MD simulation as compared to myrtenol_3CL pro. The overall stability of acetovanillone_6NUR was 154.7 kJ/mol, and for myrtenol_1UJ1 90.5 kJ/mol. In silico analysis revealed that acetovanillone ( Picrorhiza kurroa) and myrtenol ( Cyperus rotundus) possess anti SARS-CoV-2 activity. Further studies are needed to validate their efficacy in biological models.

In-Vitro and In-Silico Characterization of Xylose Reductase from Emericella nidulans

2019 ◽  
Vol 13 (2) ◽  
pp. 159-170 ◽  
Author(s):  
Vishal Ahuja ◽  
Aashima Sharma ◽  
Ranju Kumari Rathour ◽  
Vaishali Sharma ◽  
Nidhi Rana ◽  
...  
Keyword(s):  
Production Process ◽  
In Silico ◽  
Xylose Reductase ◽  
In Silico Analysis ◽  
Emericella Nidulans ◽  
Higher Temperature ◽  
In Silico Characterization ◽  
Silico Analysis

Background: Lignocellulosic residues generated by various anthropogenic activities can be a potential raw material for many commercial products such as biofuels, organic acids and nutraceuticals including xylitol. Xylitol is a low-calorie nutritive sweetener for diabetic patients. Microbial production of xylitol can be helpful in overcoming the drawbacks of traditional chemical production process and lowring cost of production. Objective: Designing efficient production process needs the characterization of required enzyme/s. Hence current work was focused on in-vitro and in-silico characterization of xylose reductase from Emericella nidulans. Methods: Xylose reductase from one of the hyper-producer isolates, Emericella nidulans Xlt-11 was used for in-vitro characterization. For in-silico characterization, XR sequence (Accession No: Q5BGA7) was used. Results: Xylose reductase from various microorganisms has been studied but the quest for better enzymes, their stability at higher temperature and pH still continues. Xylose reductase from Emericella nidulans Xlt-11 was found NADH dependent and utilizes xylose as its sole substrate for xylitol production. In comparison to whole cells, enzyme exhibited higher enzyme activity at lower cofactor concentration and could tolerate higher substrate concentration. Thermal deactivation profile showed that whole cell catalysts were more stable than enzyme at higher temperature. In-silico analysis of XR sequence from Emericella nidulans (Accession No: Q5BGA7) suggested that the structure was dominated by random coiling. Enzyme sequences have conserved active site with net negative charge and PI value in acidic pH range. Conclusion: Current investigation supported the enzyme’s specific application i.e. bioconversion of xylose to xylitol due to its higher selectivity. In-silico analysis may provide significant structural and physiological information for modifications and improved stability.

Investigation of indole functionalized pyrazoles and oxadiazoles as anti-inflammatory agents: synthesis, in-vivo, in-vitro and in-silico analysis

2021 ◽  
pp. 105068
Author(s):  
Devendra Kumar ◽  
Ravi Ranjan Kumar ◽  
Shelly Pathania ◽  
Pankaj Kumar Singh ◽  
Sourav Kalra ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Anti Inflammatory ◽  
Silico Analysis
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