In-Silico Molecular Docking and Pharmaco-Kinetic Activity Analysis of Potential Inhibitors against SARS-CoV-2 Spike Glycoproteins

2021 ◽  
pp. 83-99
Author(s):  
Mita Shikder ◽  
Kazi Ahsan Ahmed ◽  
Tasnin Al Hasib ◽  
Pranta Ray ◽  
Abul Bashar Ripon Khalipha ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Chemical Reactivity ◽  
Molecular Orbital Calculation ◽  
Kinetic Activity ◽  
Central Nervous Systems ◽  
Homo And Lumo ◽  
Potent Drug ◽  
Potential Inhibitors ◽  
In Silico Molecular Docking ◽  
Homo And Lumo Energy

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) is a causative agent of the potentially fatal coronavirus disease (COVID-19). Coronavirus targets the human respiratory system primarily. It can also infect the gastrointestinal, hepatic, and central nervous systems of humans, avians, bats, livestock, mice, and many other wild animals, as these are primary targets of the pathogen. This study aims to screen out the most potent inhibitor for SARS-CoV-2 (COVID-19) spike glycoproteins among the selected drugs, and computational tools have been utilized for this purpose. The selected drugs have been designed to explore their structural properties in this study by molecular orbital calculation. To inhibit the spike glycoproteins, the performance of these drugs was also examined by molecular docking calculation. In improving the performance of drugs, non-bond interactions play a significant role. To determine the chemical reactivity of all the medicines, HOMO and LUMO energy values were also calculated. The combined calculations exhibited that Ledipasvir among the selected drugs can be the most potent drug to treat SARS-CoV-2 compared to other medications.

scholarly journals The Study of Potential Antiviral Compounds from Indonesian Medicinal Plants as Anti-COVID-19 with Molecular Docking Approach

2021 ◽  
Vol 1 (1) ◽  
pp. 32-39
Author(s):  
Baiq Ressa Puspita Rizma ◽  
Agus Dwi Ananto ◽  
Anggit Listyacahyani Sunarwidhi
Keyword(s):  
Molecular Docking ◽  
Medicinal Plants ◽  
Virus Disease ◽  
Molecular Study ◽  
Ant System ◽  
Docking Score ◽  
Docking Approach ◽  
Rapid Transmission ◽  
Potent Drug ◽  
Potential Inhibitors

Corona Virus Disease 2019 (COVID-19) is a new strain of coronavirus called SARS-CoV-2, which was identified in Wuhan, China, in December 2019. The rapid transmission of COVID-19 from human to human forced researchers to find a potent drug by setting aside the time-consuming traditional method in drug development. The molecular docking approach is one a reliable method to screening compound from chemical drug or by finding a compound from Indonesian herbal plants. The present study aimed to assess the potency of compounds from five medicinal plants as potential inhibitors of PLpro and 3CLpro from SARS-CoV-2 using molecular study. The molecular docking was performed using Protein-Ligand Ant System (PLANTS) to analyze the potential compounds by the docking score. Remdesivir triphosphate was used as a standard for the comparison of the test compounds. The docking score obtained from the docking of PLpro with native ligand, remdesivir triphosphate, curcumin, demethoxycurcumin, bisdemethoxycurcumin, luteolin, apigenin, quercetin, kaempferol, formononetin-7-O-glucuronide, andrographolide, and neoandrographolide were -111.441, -103.827, -103.609, -102.363, -100.27, -79.6655, -78.6901, -80.9337, -79.4686, -82.1124, -79.1789, and -97.2452, respectively. Meanwhile, docking score with 3CLpro for the same ligand were -64.0074, -86.1811, -81.428, -87.1625, -78.2899, -73.4345, -70.3368, -71.5539, -68.4321, -72.0154, -75.9777, and -93.7746. The docking score data suggest that curcumin was the most potential as a PLpro inhibitor, while neoandrographolide was the best as a 3CLpro inhibitor.

scholarly journals Molecular docking study of the phytol and its derivatives against COX-2 induced inflammation: A combined density functional study

2020 ◽  
pp. 1-5
Author(s):  
Muhammad Torequl Islam ◽  
Pranta Ray ◽  
Abul Bashar Ripon Khalipha ◽  
SM Hafiz Hassan ◽  
Md. Roich Khan ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Density Functional ◽  
Chemical Reactivity ◽  
Docking Study ◽  
Functional Study ◽  
Molecular Docking Study ◽  
Study Results ◽  
Homo And Lumo ◽  
Cox 2

This study aimed to determine the activity of PYT and its derivatives against COX-2, including 5IKR protein induced inflammation by using the computational tools. PYT and its derivatives have been designed by utilizing density functional theory (DFT) and the performance of the drugs was also evaluated by molecular docking study. Results suggest that the NH2 derivative of PYT (D-NH2) showed binding energy -6.4 (Kcal/mol) with protein 5IKR of COX-2 compared to the main drug (D) that showed binding energy -5.1 (Kcal/mol) with the same protein. HOMO and LUMO energy values were also calculated to determine the chemical reactivity of all the modified drugs. Non-covalent interactions of PYT and its derivatives were essential in improving the performance. In conclusion, D-NH2 showed better preference in inhibiting to the protein 5IKR of COX-2 compared to other modified drugs and it can be claimed that D-NH2 will be the best conformer for COX-2 induced inflammation.

scholarly journals In silico Molecular Docking and ADMET Study of Some Potential Antiviral Drug Candidates as Potential Inhibitors of SARS-CoV-2 Protease Mpro (6Y2F)

2021 ◽  
Vol 20 (2) ◽  
pp. 177-183
Author(s):  
Sajan Das ◽  
Muhammad Shah Mohtasim Khan ◽  
Md Shawkatul Islam Bakhtiar ◽  
Mohammad Shahriar
Keyword(s):  
Amino Acids ◽  
Hydrogen Bond ◽  
Molecular Docking ◽  
Protein Structure ◽  
In Silico ◽  
Antiviral Drug ◽  
Drug Candidates ◽  
Potential Inhibitors ◽  
In Silico Molecular Docking ◽  
Present World

In this present world COVID-19 pandemic is one of the biggest concern. An appealing medication focus among Covids is the fundamental protease; SARS-CoV-2 protease Mpro (6Y2F) due to its fundamental role in handling the polyproteins that are interpreted from the viral RNA. The present study showed the interaction of favipiravir, ganciclovir, raltegravir and remdesivir against 6Y2F, using molecular docking were analyzed. Among those ligands’ interaction with protein structure, 6Y2F on raltegravir (-7.4 kcal/mol) and remdesivir (-6.9 kcal/mol), respectively displayed maximum binding affinity. The interactions of four ligands were contrasted with each other in that ganciclovir and raltegravir form highest number of hydrogen bond with 6Y2F. The interacting amino acids residues (Gly143, Ser144, Cys145) were studied and all selected ligands were predicted to be non-carcinogens and non-AMES toxic. Dhaka Univ. J. Pharm. Sci. 20(2): 177-183, 2021 (December)

Screening and identification of potential tyrosinase inhibitors from Semen Oroxyli extract by ultrafiltration LC-MS and in silico molecular docking

2019 ◽  
Vol 57 (9) ◽  
pp. 838-846
Author(s):  
Xing-shuo Yin ◽  
Xue-qin Zhang ◽  
Jin-tuo Yin ◽  
De-zhi Kong ◽  
De-qiang Li
Keyword(s):  
Molecular Docking ◽  
Bioactive Compounds ◽  
Binding Mode ◽  
Binding Affinities ◽  
Docking Analysis ◽  
Screening And Identification ◽  
Peak Areas ◽  
Tyrosinase Inhibitors ◽  
Potential Inhibitors ◽  
In Silico Molecular Docking

Abstract There is an increasing interest in screening and developing natural tyrosinase inhibitors widely applied in medicinal and cosmetic products, as well as in the food industry. In this study, an approach by ultrafiltration LC-MS and molecular docking was used to screen and identify tyrosinase inhibitors from Semen Oroxyli extract. The samples were first incubated with the tyrosinase to select the optimal binding conditions including tyrosinase concentration, incubation time and the molecular weight of ultrafiltration membrane. By comparison of the chromatographic profiles of the extracts after ultrafiltration with activated and inactivated tyrosinase, the potential inhibitors were obtained and then identified by LC-MS. The relative binding affinities of the potential inhibitors were also calculated based on the decrease of peak areas of those. As a result, seven compounds were fished out as tyrosinase inhibitors by this assay. Among them, oroxin A and baicalein showed higher tyrosinase inhibitory than resveratrol as positive drug, and their binding mode with enzyme was further verified via the molecular docking analysis. The test results showed that the proposed method was a simple, rapid, effective, and reliable method for the discovery of natural bioactive compounds, and it can be extended to screen other bioactive compounds from traditional Chinese medicines.

Molecular docking studies of bacoside from Bacopa monnieri with LRRK2 receptor

Biologia ◽  
2013 ◽  
Vol 68 (6) ◽  
Author(s):  
Chakresh Jain ◽  
Aman Gupta ◽  
Ashish Tewari ◽  
Vanashika Sharma ◽  
Vipul Kumar ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Kinase Activity ◽  
Docking Studies ◽  
Bacopa Monnieri ◽  
Major Constituent ◽  
Bacoside A ◽  
Molecular Docking Studies ◽  
Potential Inhibitors ◽  
In Silico Molecular Docking ◽  
Important Marker

AbstractBacosides, constituents of Bacopa monnieri (Linn.), are reported to be potential therapeutic saponins in the cure of Parkinson’s disease (PD). However, detailed mechanism for control of PD by bacosides is not well documented. PD has been reported to be caused by genetic mutations in leucine-rich repeat kinase 2 (LRRK2) leading to higher kinase activity that has been identified as a major cause of familial PD. The LRRK2 was thus proposed as an important marker in the pathogenesis of PD. This suggests that inhibition of LRRK2 holds promise as a potential treatment for PD. Our study focuses on the possible application of bacoside A constituents as potential inhibitors of LRRK2. In this work, we have carried out the in silico molecular docking studies of bacoside A constituents with LRRK2, proposing their role as an inhibitor in PD. The study has revealed the significant interactions between bacosaponin and LRRK2 having ten H-bonds at receptor-ligand site with binding affinity −7.5 kcal/mol. Hence, amongst the studied triglycosidic saponins, bacosaponin was analyzed to be a better ligand, proposing it to be a major constituent in inhibiting enzymatic activities of mutated LRRK2.

The Antiviral and Antimalarial Drug Repurposing in Quest of Chemotherapeutics to Combat COVID-19 Utilizing Structure-Based Molecular Docking

2020 ◽  
Vol 23 ◽  
Author(s):  
Sisir Nandi ◽  
Mohit Kumar ◽  
Mridula Saxena ◽  
Anil Kumar Saxena
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Drug Repurposing ◽  
Clinical Settings ◽  
The Novel ◽  
In Silico Docking ◽  
Biochemical Mechanisms ◽  
Novel Coronavirus ◽  
In Silico Molecular Docking

Background: The novel coronavirus disease (COVID-19) is caused by a new strain (SARS-CoV-2) erupted in 2019. Nowadays, it is a great threat that claims uncountable lives worldwide. There is no specific chemotherapeutics developed yet to combat COVID-19. Therefore, scientists have been devoted in the quest of the medicine that can cure COVID- 19. Objective: Existing antivirals such as ASC09/ritonavir, lopinavir/ritonavir with or without umifenovir in combination with antimalarial chloroquine or hydroxychloroquine have been repurposed to fight the current coronavirus epidemic. But exact biochemical mechanisms of these drugs towards COVID-19 have not been discovered to date. Method: In-silico molecular docking can predict the mode of binding to sort out the existing chemotherapeutics having a potential affinity towards inhibition of the COVID-19 target. An attempt has been made in the present work to carry out docking analyses of 34 drugs including antivirals and antimalarials to explain explicitly the mode of interactions of these ligands towards the COVID-19protease target. Results: 13 compounds having good binding affinity have been predicted towards protease binding inhibition of COVID-19. Conclusion: Our in silico docking results have been confirmed by current reports from clinical settings through the citation of suitable experimental in vitro data available in the published literature.

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.

scholarly journals In Silico Molecular Docking and Interaction Analysis of Traditional Chinese Medicines Against SARS-CoV-2 Receptor

2021 ◽  
Vol 16 (5) ◽  
pp. 1934578X2110150
Author(s):  
Gang Li ◽  
Wei Zhou ◽  
Xiurong Zhao ◽  
Ying Xie
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Interaction Analysis ◽  
Herbal Remedies ◽  
Receptor Protein ◽  
Stable Complex ◽  
Traditional Chinese Medicines ◽  
Ligand Interaction ◽  
Chinese Medicines ◽  
In Silico Molecular Docking

The novel coronavirus, 2019-nCoV, has led to a major pandemic in 2020 and is responsible for more than 2.9 million officially recorded deaths worldwide. As well as synthetic anti-viral drugs, there is also a need to explore natural herbal remedies. The Traditional Chinese Medicines (TCMs) system has been used for thousands of years for the prevention, diagnosis, and treatment of several chronic diseases. In this paper, we performed an in silico molecular docking and interaction analysis of TCMs against SARS-CoV-2 receptor RNA-dependent RNA polymerase (RdRp). We obtained the 5 most effective plant compounds which had a better binding affinity towards the target receptor protein. These compounds areforsythoside A, rutin, ginkgolide C, icariside II, and nolinospiroside E. The top-ranked compound, based on docking score, was nolinospiroside, a glycoside found in Ophiopogon japonicas that has antioxidant properties. Protein-ligand interaction analysis discerned that nolinospiroside formed a strong bond between ARG 349 of the protein receptor and the carboxylate group of the ligand, forming a stable complex. Hence, nolinospiroside could be deployed as a lead compound against SARS-CoV-2 infection that can be further investigated for its potential benefits in curbing the viral infection.

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