scholarly journals In-silico ADME and Docking-based Virtual Screening Study Aiming at the Sigma-Covalent Inhibition of SARS-CoV-2 RdRp

2021 ◽  
pp. 321-336
Author(s):  
G. Koteswara Reddy ◽  
V. Nikhil Reddy ◽  
S. Phavethra ◽  
A. Bhavani ◽  
A. J. Vineeth ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Molecular Descriptors ◽  
Rna Dependent Rna Polymerase ◽  
Discovery Studio ◽  
Covalent Inhibition ◽  
Screening Study ◽  
Essential Enzyme ◽  
High Binding Affinity ◽  
Transcription And Replication

The objectives of the study were to examine the virtual screening of the compounds and sigma-covalent inhibition of SARS-CoV-2 RdRp (RNA-Dependent RNA-Polymerase), which is conserved and is an essential enzyme for RNA transcription and replication of this virus. In this study, we collected around 1225 similar compounds of Penciclovir and Acyclovir inhibitors from PubChem and predicted ADME (Adsorption, Distribution, Metabolism and Excretion) molecular descriptors using Swiss-ADME server. Virtually screened 24/1225 compounds based on drug-likeliness five rules (Lipinski, Ghose, Veber, Egan, and Muegge) and lead-likeliness properties. Further 10/24 compounds screened, based on high binding affinity and RMSD<3.5Å against RdRp structure using PyRx docking software. Furthermore, the molecular interactions of 10 compounds studied using Discovery studio software and finally screened five PubChem compounds 57201841, 135408972, 54552823, 135409422 and 467850, based on bioactivity score using Molinsipiration cheminformatics software. All these five compounds showed up anti-SARS CoV-2 activity, though further in-vitro studies are required.

scholarly journals Fast and efficient purification of SARS-CoV-2 RNA dependent RNA polymerase complex expressed in Escherichia coli

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250610
Author(s):  
Clément Madru ◽  
Ayten Dizkirici Tekpinar ◽  
Sandrine Rosario ◽  
Dariusz Czernecki ◽  
Sébastien Brûlé ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
Insect Cells ◽  
Antiviral Agents ◽  
Chemical Compounds ◽  
Rna Dependent Rna Polymerase ◽  
Rna Polymerization ◽  
Purification Protocol ◽  
Transcription And Replication

To stop the COVID-19 pandemic due to the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which caused more than 2.5 million deaths to date, new antiviral molecules are urgently needed. The replication of SARS-CoV-2 requires the RNA-dependent RNA polymerase (RdRp), making RdRp an excellent target for antiviral agents. RdRp is a multi-subunit complex composed of 3 viral proteins named nsp7, nsp8 and nsp12 that ensure the ~30 kb RNA genome’s transcription and replication. The main strategies employed so far for the overproduction of RdRp consist of expressing and purifying the three subunits separately before assembling the complex in vitro. However, nsp12 shows limited solubility in bacterial expression systems and is often produced in insect cells. Here, we describe an alternative strategy to co-express the full SARS-CoV-2 RdRp in E. coli, using a single plasmid. Characterization of the purified recombinant SARS-CoV-2 RdRp shows that it forms a complex with the expected (nsp7)(nsp8)2(nsp12) stoichiometry. RNA polymerization activity was measured using primer-extension assays showing that the purified enzyme is functional. The purification protocol can be achieved in one single day, surpassing in speed all other published protocols. Our construct is ideally suited for screening RdRp and its variants against very large chemical compounds libraries and has been made available to the scientific community through the Addgene plasmid depository (Addgene ID: 165451).

scholarly journals Potential Novel Thioether-Amide or Guanidine-Linker Class of SARS-CoV-2 Virus RNA-Dependent RNA Polymerase Inhibitors Identified by High-Throughput Virtual Screening Coupled to Free-Energy Calculations

2021 ◽  
Vol 22 (20) ◽  
pp. 11143
Author(s):  
Marko Jukič ◽  
Dušanka Janežič ◽  
Urban Bren
Keyword(s):  
Virtual Screening ◽  
Rna Polymerase ◽  
High Throughput ◽  
Biological Evaluation ◽  
Free Energy Calculations ◽  
Rna Dependent Rna Polymerase ◽  
Linear Interaction ◽  
Energy Calculations ◽  
High Throughput Virtual Screening

SARS-CoV-2, or severe acute respiratory syndrome coronavirus 2, represents a new pathogen from the family of Coronaviridae that caused a global pandemic of COVID-19 disease. In the absence of effective antiviral drugs, research of novel therapeutic targets such as SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) becomes essential. This viral protein is without a human counterpart and thus represents a unique prospective drug target. However, in vitro biological evaluation testing on RdRp remains difficult and is not widely available. Therefore, we prepared a database of commercial small-molecule compounds and performed an in silico high-throughput virtual screening on the active site of the SARS-CoV-2 RdRp using ensemble docking. We identified a novel thioether-amide or guanidine-linker class of potential RdRp inhibitors and calculated favorable binding free energies of representative hits by molecular dynamics simulations coupled with Linear Interaction Energy calculations. This innovative procedure maximized the respective phase-space sampling and yielded non-covalent inhibitors representing small optimizable molecules that are synthetically readily accessible, commercially available as well as suitable for further biological evaluation and mode of action studies.

Identification of novel inhibitors of HCV RNA-dependent RNA polymerase by pharmacophore-based virtual screening and in vitro evaluation

2009 ◽  
Vol 17 (8) ◽  
pp. 2975-2982 ◽  
Author(s):  
Kisun Ryu ◽  
Nam Doo Kim ◽  
Seong Il Choi ◽  
Cheol Kyu Han ◽  
Jeong Hyeok Yoon ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Rna Polymerase ◽  
Hcv Rna ◽  
Rna Dependent Rna Polymerase ◽  
In Vitro Evaluation

scholarly journals Computational Approach for Covalent Lead Identification against Spike Glycoprotein of SARS-CoV-2

2021 ◽  
Author(s):  
Ravi BHUSHAN ◽  
Pawan K Dubey ◽  
Akhtar Ali ◽  
Harshit Dwivedi ◽  
Anuj Kumar ◽  
...  
Keyword(s):  
Binding Energy ◽  
Virtual Screening ◽  
Binding Affinity ◽  
Spike Glycoprotein ◽  
Lipinski’S Rule ◽  
Discovery Studio ◽  
Synthetic Molecules ◽  
Docking Approach

Abstract Background: A global outbreak of coronavirus disease 19 (COVID-19) led researchers to investigate various active compounds that can inhibit the replication of SARS-CoV2 (severe acute respiratory syndrome coronavirus 2). The present work targets to evaluate small covalent synthetic molecules through a virtual screening and docking approach that can efficiently inhibit Spike Glycoprotein of SARS CoV2.Methods: We retrieved around 50,000 small covalent synthetic molecules through the American chemical society (CAS) database. The initial evaluation of these synthetic molecules depends on the ADMET screening. A Lipinski's Rule of Five (RO5) was also applied to find whether the drug met the criteria of good bioavailability. Then, the further selection was made through virtual screening using BIOVIA Discovery Studio. Further, comparison among top hits was performed via a docking approach based on the binding energy (kcal/mol) calculated using the AutoDock Vina plugin and Patch Dock-like docking engines. Finally, the selected top five molecules were compared for their binding efficiency with reference drugs like Favipiravir, Chloroquine, Ribavirin, Hydroxychloroquine (approved by the FDA), and molecules with better binding affinity than reference drugs was selected.Results: In the first tier of selection, 215 molecules were screened out, satisfying all the necessary conditions of RO5 and ADMET. Among 215 molecules screened, only 203 molecules were stable in structure to undergo the second tier of target-based virtual screening. Further, based upon the LibDock score generated by virtual screening, the top five molecules with the highest LibD score were selected. Molecular docking of these five selected compounds reveals compound2 (3-ethyl-5-propyladamantan-1-amine) with the best binding energy. Furthermore, we compared the binding affinity of 3-ethyl-5-propyladamantan-1-amine with reported drugs that show 3-ethyl-5-propyladamantan-1-amine as the most promising ligand efficient hydrogen bond interactions with amino acid residues of protein which provides more excellent stability in the docked region of the protein with efficient binding energy as compared to the reference molecule. Moreover, Compound2 also has a high oral bioavailability, non-mutagenicity, non-toxicity and follows all RO5 criteria.Conclusion: Thus, it has potential as an antiviral covalent synthetic molecule that may prevent the replication of spike protein. These findings are just preliminary selection to facilitate the upcoming tests from in vivo and in vitro studies.

Role of 4-O Galloylchlorogenic Acid in Lung Cancer- An Insilico Approach

2017 ◽  
Vol 9 (5) ◽  
Author(s):  
Jaynthy C. ◽  
N. Premjanu ◽  
Abhinav Srivastava
Keyword(s):  
Lung Cancer ◽  
Cell Proliferation ◽  
In Silico ◽  
Computational Study ◽  
Regulation Mechanism ◽  
Down Regulation ◽  
Fruit Extract ◽  
In Vitro Techniques ◽  
Discovery Studio

Cancer is a major disease with millions of patients diagnosed each year with high mortality around the world. Various studies are still going on to study the further mechanisms and pathways of the cancer cell proliferation. Fucosylation is one of the most important oligosaccharide modifications involved in cancer and inflammation. In cancer development increased core fucosylation by FUT8 play an important role in cell proliferation. Down regulation of FUT8 expression may help cure lung cancer. Therefore the computational study based on the down regulation mechanism of FUT8 was mechanised. Sapota fruit extract, containing 4-Ogalloylchlorogenic acid was used as the inhibitor against FUT-8 as target and docking was performed using in-silico tool, Accelrys Discovery Studio. There were several conformations of the docked result, and conformation 1 showed 80% dock score between the ligand and the target. Further the amino acids of the inhibitor involved in docking were studied using another tool, Ligplot. Thus, in-silico analysis based on drug designing parameters shows that the fruit extract can be studied further using in-vitro techniques to know its pharmacokinetics.

Binding Mechanism and Structural Insights into the Identified Protein Target of Covid-19 with In-Vitro Effective Drug Ivermectin

2020 ◽  
Author(s):  
Parth Sarthi Sen Gupta ◽  
Satyaranjan Biswal ◽  
Saroj Kumar Panda ◽  
Abhik Kumar Ray ◽  
Malay Kumar Rana
Keyword(s):  
Ternary Complex ◽  
Bound State ◽  
Molecular Target ◽  
Cooperative Interaction ◽  
Effective Drug ◽  
Rna Dependent Rna Polymerase ◽  
Protein Target ◽  
Ternary Complex Formation ◽  
Structural Insights

<p>While an FDA approved drug Ivermectin was reported to dramatically reduce the cell line of SARS-CoV-2 by ~5000 folds within 48 hours, the precise mechanism of action and the COVID-19 molecular target involved in interaction with this in-vitro effective drug are unknown yet. Among 12 different COVID-19 targets studied here, the RNA dependent RNA polymerase (RdRp) with RNA and Helicase NCB site show the strongest affinity to Ivermectin amounting -10.4 kcal/mol and -9.6 kcal/mol, respectively. Molecular dynamics of corresponding protein-drug complexes reveals that the drug bound state of RdRp with RNA has better structural stability than the Helicase NCB site, with MM/PBSA free energy of -135.2 kJ/mol, almost twice that of Helicase (-76.6 kJ/mol). The selectivity of Ivermectin to RdRp is triggered by a cooperative interaction of RNA-RdRp by ternary complex formation. Identification of the target and its interaction profile with Ivermectin can lead to more powerful drug designs for COVID-19 and experimental exploration. </p>

Discovery of New AKT1 Inhibitors by Combination of In silico Structure Based Virtual Screening Approaches and Biological Evaluations

2019 ◽  
Author(s):  
Filip Fratev ◽  
Denisse A. Gutierrez ◽  
Renato J. Aguilera ◽  
suman sirimulla
Keyword(s):  
Virtual Screening ◽  
Success Rate ◽  
Protein Interactions ◽  
In Silico ◽  
Biological Data ◽  
In Vitro Binding ◽  
Vitro Binding ◽  
Screening Protocol ◽  
Screening Approaches

AKT1 is emerging as a useful target for treating cancer. Herein, we discovered a new set of ligands that inhibit the AKT1, as shown by in vitro binding and cell line studies, using a newly designed virtual screening protocol that combines structure-based pharmacophore and docking screens. Taking together with the biological data, the combination of structure based pharamcophore and docking methods demonstrated reasonable success rate in identifying new inhibitors (60-70%) proving the success of aforementioned approach. A detail analysis of the ligand-protein interactions was performed explaining observed activities.<br>

Comprehensive in silico Study of GLUT10: Prediction of Possible Substrate Binding Sites and Interacting Molecules

2020 ◽  
Vol 21 (2) ◽  
pp. 117-130 ◽  
Author(s):  
Mohammad J. Hosen ◽  
Mahmudul Hasan ◽  
Sourav Chakraborty ◽  
Ruhshan A. Abir ◽  
Abdullah Zubaer ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Binding Site ◽  
Glucose Transporter ◽  
Substrate Binding ◽  
Mutation Screening ◽  
Homology Model ◽  
Connective Tissue Disorder ◽  
Crystallographic Structure ◽  
Substrate Binding Site

Objectives: The Arterial Tortuosity Syndrome (ATS) is an autosomal recessive connective tissue disorder, mainly characterized by tortuosity and stenosis of the arteries with a propensity towards aneurysm formation and dissection. It is caused by mutations in the SLC2A10 gene that encodes the facilitative glucose transporter GLUT10. The molecules transported by and interacting with GLUT10 have still not been unambiguously identified. Hence, the study attempts to identify both the substrate binding site of GLUT10 and the molecules interacting with this site. Methods: As High-resolution X-ray crystallographic structure of GLUT10 was not available, 3D homology model of GLUT10 in open conformation was constructed. Further, molecular docking and bioinformatics investigation were employed. Results and Discussion: Blind docking of nine reported potential in vitro substrates with this 3D homology model revealed that substrate binding site is possibly made with PRO531, GLU507, GLU437, TRP432, ALA506, LEU519, LEU505, LEU433, GLN525, GLN510, LYS372, LYS373, SER520, SER124, SER533, SER504, SER436 amino acid residues. Virtual screening of all metabolites from the Human Serum Metabolome Database and muscle metabolites from Human Metabolite Database (HMDB) against the GLUT10 revealed possible substrates and interacting molecules for GLUT10, which were found to be involved directly or partially in ATS progression or different arterial disorders. Reported mutation screening revealed that a highly emergent point mutation (c. 1309G>A, p. Glu437Lys) is located in the predicted substrate binding site region. Conclusion: Virtual screening expands the possibility to explore more compounds that can interact with GLUT10 and may aid in understanding the mechanisms leading to ATS.

Identification of a Potential Inhibitor Targeting MurC Ligase of the Drug Resistant Pseudomonas aeruginosa Strain through Structure-Based Virtual Screening Approach and In Vitro Assay

2019 ◽  
Vol 20 (14) ◽  
pp. 1203-1212
Author(s):  
Abdelmonaem Messaoudi ◽  
Manel Zoghlami ◽  
Zarrin Basharat ◽  
Najla Sadfi-Zouaoui
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Virtual Screening ◽  
Homology Model ◽  
Generation Cephalosporin ◽  
World Health ◽  
Resistant Bacteria ◽  
Antimicrobial Drugs ◽  
Vitro Assay ◽  
Priority List

Background & Objective: Pseudomonas aeruginosa shows resistance to a large number of antibiotics, including carbapenems and third generation cephalosporin. According to the World Health Organization global report published in February 2017, Pseudomonas aeruginosa is on the priority list among resistant bacteria, for which new antibiotics are urgently needed. Peptidoglycan serves as a good target for the discovery of novel antimicrobial drugs. Methods: Biosynthesis of peptidoglycan is a multi-step process involving four mur enzymes. Among these enzymes, UDP-N-acetylmuramate-L-alanine ligase (MurC) is considered to be an excellent target for the design of new classes of antimicrobial inhibitors in gram-negative bacteria. Results: In this study, a homology model of Pseudomonas aeruginosa MurC ligase was generated and used for virtual screening of chemical compounds from the ZINC Database. The best screened inhibitor i.e. N, N-dimethyl-2-oxo-2,3-dihydro-1H-1,3-benzodiazole-5-sulfonamide was then validated experimentally through inhibition assay. Conclusion: The presented results based on combined computational and in vitro analysis open up new horizons for the development of novel antimicrobials against this pathogen.

1'-methylspiro[indoline-3,4'-piperidine] Derivatives: Design, Synthesis, Molecular Docking and Anti-tumor Activity Studies

2020 ◽  
Vol 17 ◽  
Author(s):  
Junjian Li ◽  
Lianbao Ye ◽  
Yuanyuan Wang ◽  
Ying Liu ◽  
Xiaobao Jin ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Cell Lines ◽  
Active Sites ◽  
Biological Activities ◽  
Significant Inhibition ◽  
Alkaline Condition ◽  
Discovery Studio ◽  
Hela Cell Lines ◽  
Antiproliferative Activities

Background: Spirocyclic indoline compounds widely exist in numerous natural products with good biological activities and some drug molecules in many aspects. In recent years, it has attracted extensive attention as potent anti-tumor agents in the fields of pharmacology and chemistry. Objective: In this study, we focused on designing and synthesizing a set of novel 1'-H-spiro[indole-3,4'-piperidine] derivatives, which were evaluated by preliminary bioactivity experiment in vitro and molecular docking. Method: The key intermediate 1'-methylspiro[indoline-3,4'-piperidine] (B4) reacted with benzenesulfonyl chloride with different substituents under alkaline condition to obtain its sulfonyl derivatives (B5-B10). We evaluated their antiproliferative activities against A549, BEL-7402 and HeLa cells by MTT assay. We performed the CDOCKER module in Discovery Studio 2.5.5 software for molecular modeling of compound B5, and investigated the binding of compound B5 with the target proteins from PDB database. Results: The results indicated that compounds B4-B10 exhibited good antiproliferative activities against the above three types of cells, in which compound B5 with chloride atom as electron-withdrawing substituent on a phenyl ring showed the highest potency against BEL-7402 cells (IC50=30.03±0.43 μg/mL). By binging of the prominent bioactive compound B5 to CDK, c-Met, EGFR protein crystals, The binding energy of B5 with these three types receptors are -44.3583 kcal/mol, - 38.3292 kcal/mol, -33.3653 kcal/mol respectively. Conclusion: Six 1'-methylspiro[indoline-3,4'-piperidine] derivatives were synthesized and evaluated against BEL-7402, A- 549, HeLa cell lines. Compound B5 showed significant inhibition on BEL-7402 cell lines. Molecular docking revealed that B5 showed good affinity by the good fitting between B5 and these three targets with amino acid residues in active sites which encourage us to conduct further evaluation such as the kinase experiment.

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