scholarly journals In Silico Screening of Sesquiterpene Lactones as Aldose Reductase Inhibitors

2021 ◽  
Vol 28 (2) ◽  
pp. 64-69
Author(s):  
A.M. Alhassan ◽  
I. Malami
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Aldose Reductase ◽  
In Silico ◽  
Sesquiterpene Lactones ◽  
Docking Simulation ◽  
Binding Energies ◽  
In Silico Docking ◽  
Aldose Reductase Inhibitors ◽  
Reductase Inhibitors

Aldose reductase, a key enzyme of the polyol pathway catalyses NADPH-dependent reduction of glucose to sorbitol. Increased activity of this enzyme is considered a major factor contributing to the development of diabetic complications hence could be an important target in the treatment of these complications. In this work, a database of sesquiterpenes was prepared and screened for their drug-like properties based on the Lipinski’s rule of 5. The co-crystallised structure of aldose reductase was obtained from the Protein Databank and prepared for docking. In silico docking experiments was performed on Autodock tools using 198 sesquiterpene lactones that passed screening, and compounds with the lowest binding energy and favourable binding interactions were selected for molecular docking simulation. Six of the best ranking compounds selected had binding energies ranging from–11.96 Kcal/mol to -9.45 Kcal/mol  and were comparable to the energy of the standard inhibitor Idd594 used in the study. They also show good complementarity in their binding to the residues of the binding pocket. The results suggest that dehydrooopodin (1), 11(S),13-dihydrolactucopicrin (2), and Chrysanin (3) offered potential inhibitory activities toward aldose reductase and may serve as lead compounds for in vivo validation as aldose reductase inhibitors. Keywords: Sesquiterpene lactones, Aldose reductase, Binding energy, Molecular docking, Autodock

Discovery of potential aldose reductase inhibitors using in silico docking studies

2012 ◽  
Vol 12 (2) ◽  
pp. 157-161 ◽  
Author(s):  
Arumugam Madeswaran ◽  
Muthuswamy Umamaheswari ◽  
Kuppusamy Asokkumar ◽  
Thirumalaisamy Sivashanmugam ◽  
Varadharajan Subhadradevi ◽  
...  
Keyword(s):  
Aldose Reductase ◽  
In Silico ◽  
Docking Studies ◽  
In Silico Docking ◽  
Aldose Reductase Inhibitors ◽  
Reductase Inhibitors

In Silico Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of 3C-like Main Proteinase (3CLpro) from Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Using Selected African Medicinal Plants

2020 ◽  
Author(s):  
Sahar Qazi ◽  
Mustafa Alhaji Isa ◽  
Adam Mustapha ◽  
Khalid Raza ◽  
Ibrahim Alkali Allamin ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Severe Acute Respiratory Syndrome ◽  
In Silico ◽  
Md Simulation ◽  
Binding Energies ◽  
Anacardium Occidentale ◽  
Upper Respiratory Tract ◽  
Ligand Complex ◽  
In Silico Docking ◽  
Main Protease

<p>The Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) is an infectious virus that causes mild to severe life-threatening upper respiratory tract infection. The virus emerged in Wuhan, China in 2019, and later spread across the globe. Its genome has been completely sequenced and based on the genomic information, the virus possessed 3C-Like Main Protease (3CLpro), an essential multifunctional enzyme that plays a vital role in the replication and transcription of the virus by cleaving polyprotein at eleven various sites to produce different non-structural proteins. This makes the protein an important target for drug design and discovery. Herein, we analyzed the interaction between the 3CLpro and potential inhibitory compounds identified from the extracts of <i>Zingiber offinale</i> and <i>Anacardium occidentale</i> using in silico docking and Molecular Dynamics (MD) Simulation. The crystal structure of SARS-CoV-2 main protease in complex with 02J (5-Methylisoxazole-3-carboxylic acid) and PEJ (composite ligand) (PDB Code: 6LU7,2.16Å) retrieved from Protein Data Bank (PDB) and subject to structure optimization and energy minimization. A total of twenty-nine compounds were obtained from the extracts of <i>Zingiber offinale </i>and the leaves of <i>Anacardium occidentale. </i>These compounds were screened for physicochemical (Lipinski rule of five, Veber rule, and Egan filter), <i>Pan</i>-Assay Interference Structure (PAINS), and pharmacokinetic properties to determine the Pharmaceutical Active Ingredients (PAIs). Of the 29 compounds, only nineteen (19) possessed drug-likeness properties with efficient oral bioavailability and less toxicity. These compounds subjected to molecular docking analysis to determine their binding energies with the 3CLpro. The result of the analysis indicated that the free binding energies of the compounds ranged between ˗5.08 and -10.24kcal/mol, better than the binding energies of 02j (-4.10kcal/mol) and PJE (-5.07kcal.mol). Six compounds (CID_99615 = -10.24kcal/mol, CID_3981360 = 9.75kcal/mol, CID_9910474 = -9.14kcal/mol, CID_11697907 = -9.10kcal/mol, CID_10503282 = -9.09kcal/mol and CID_620012 = -8.53kcal/mol) with good binding energies further selected and subjected to MD Simulation to determine the stability of the protein-ligand complex. The results of the analysis indicated that all the ligands form stable complexes with the protein, although, CID_9910474 and CID_10503282 had a better stability when compared to other selected phytochemicals (CID_99615, CID_3981360, CID_620012, and CID_11697907). </p>

In Silico Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of 3C-like Main Proteinase (3CLpro) from Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Using Selected African Medicinal Plants

2020 ◽  
Author(s):  
Sahar Qazi ◽  
Mustafa Alhaji Isa ◽  
Adam Mustapha ◽  
Khalid Raza ◽  
Ibrahim Alkali Allamin ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Severe Acute Respiratory Syndrome ◽  
In Silico ◽  
Md Simulation ◽  
Binding Energies ◽  
Anacardium Occidentale ◽  
Upper Respiratory Tract ◽  
Ligand Complex ◽  
In Silico Docking ◽  
Main Protease

<p>The Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) is an infectious virus that causes mild to severe life-threatening upper respiratory tract infection. The virus emerged in Wuhan, China in 2019, and later spread across the globe. Its genome has been completely sequenced and based on the genomic information, the virus possessed 3C-Like Main Protease (3CLpro), an essential multifunctional enzyme that plays a vital role in the replication and transcription of the virus by cleaving polyprotein at eleven various sites to produce different non-structural proteins. This makes the protein an important target for drug design and discovery. Herein, we analyzed the interaction between the 3CLpro and potential inhibitory compounds identified from the extracts of <i>Zingiber offinale</i> and <i>Anacardium occidentale</i> using in silico docking and Molecular Dynamics (MD) Simulation. The crystal structure of SARS-CoV-2 main protease in complex with 02J (5-Methylisoxazole-3-carboxylic acid) and PEJ (composite ligand) (PDB Code: 6LU7,2.16Å) retrieved from Protein Data Bank (PDB) and subject to structure optimization and energy minimization. A total of twenty-nine compounds were obtained from the extracts of <i>Zingiber offinale </i>and the leaves of <i>Anacardium occidentale. </i>These compounds were screened for physicochemical (Lipinski rule of five, Veber rule, and Egan filter), <i>Pan</i>-Assay Interference Structure (PAINS), and pharmacokinetic properties to determine the Pharmaceutical Active Ingredients (PAIs). Of the 29 compounds, only nineteen (19) possessed drug-likeness properties with efficient oral bioavailability and less toxicity. These compounds subjected to molecular docking analysis to determine their binding energies with the 3CLpro. The result of the analysis indicated that the free binding energies of the compounds ranged between ˗5.08 and -10.24kcal/mol, better than the binding energies of 02j (-4.10kcal/mol) and PJE (-5.07kcal.mol). Six compounds (CID_99615 = -10.24kcal/mol, CID_3981360 = 9.75kcal/mol, CID_9910474 = -9.14kcal/mol, CID_11697907 = -9.10kcal/mol, CID_10503282 = -9.09kcal/mol and CID_620012 = -8.53kcal/mol) with good binding energies further selected and subjected to MD Simulation to determine the stability of the protein-ligand complex. The results of the analysis indicated that all the ligands form stable complexes with the protein, although, CID_9910474 and CID_10503282 had a better stability when compared to other selected phytochemicals (CID_99615, CID_3981360, CID_620012, and CID_11697907). </p>

Kinetics and molecular docking studies of kaempferol and its prenylated derivatives as aldose reductase inhibitors

2012 ◽  
Vol 197 (2-3) ◽  
pp. 110-118 ◽  
Author(s):  
Hyun Ah Jung ◽  
Hye Eun Moon ◽  
Sang Ho Oh ◽  
Byung-Woo Kim ◽  
Hee Sook Sohn ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Aldose Reductase ◽  
Docking Studies ◽  
Molecular Docking Studies ◽  
Aldose Reductase Inhibitors ◽  
Reductase Inhibitors

scholarly journals Elucidation of the interactions between SARS-CoV-2 Spike protein and wild and mutant types of IFITM proteins by in silico methods

2021 ◽  
Author(s):  
Nazli Irmak Giritlioglu ◽  
Gizem Koprululu Kucuk
Keyword(s):  
Molecular Docking ◽  
Amino Acid ◽  
Binding Energy ◽  
Hydrogen Bonds ◽  
In Silico ◽  
Protein Complexes ◽  
Protein Product ◽  
Binding Energies ◽  
Spike Protein ◽  
Web Based

COVID-19 is a viral disease that has been a threat to the whole world since 2019. Although effective vaccines against the disease have been developed, there are still points to be clarified about the mechanism of SARS-CoV-2, which is the causative agent of COVID-19. In this study, we determined the binding energies and the bond types of complexes formed by open (6VYB) and closed (6VXX) forms of the Spike protein of SARS-CoV-2 and wild and mutant forms of IFITM1, IFITM2, and IFITM3 proteins using the molecular docking approach. First, all missense SNPs were found in the NCBI Single Nucleotide Polymorphism database (dbSNP) for IFITM1, IFITM2, and IFITM3 and analyzed with SIFT, PROVEAN, PolyPhen-2, SNAP2, Mutation Assessor, and PANTHER cSNP web-based tools to determine their pathogenicity. When at least four of these analysis tools showed that the SNP had a pathogenic effect on the protein product, this SNP was saved for further analysis. Delta delta G (DDG) and protein stability analysis for amino acid changes were performed in the web-based tools I-Mutant, MUpro, and SAAFEC-SEQ. The structural effect of amino acid change on the protein product was made using the HOPE web-based tool. HawkDock server was used for molecular docking and Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) analysis and binding energies of all complexes were calculated. BIOVIA Discovery Studio program was utilized to visualize the complexes. Hydrogen bonds, salt bridges, and non-bonded contacts between Spike and IFITM protein chains in the complexes were detected with the PDBsum web-based tool. The best binding energy among the 6VYB-IFITM wild protein complexes belong to 6VYB-IFITM1 (-46.16 kcal/mol). Likewise, among the 6VXX-IFITM wild protein complexes, the most negative binding energy belongs to 6VXX-IFITM1 (-52.42 kcal/mol). An interesting result found in the study is the presence of hydrogen bonds between the cytoplasmic domain of the IFITM1 wild protein and the S2 domain of 6VYB. Among the Spike-IFITM mutant protein complexes, the best binding energy belongs to the 6VXX-IFITM2 N63S complex (-50.77 kcal/mol) and the worst binding energy belongs to the 6VXX-IFITM3 S50T complex (4.86 kcal/mol). The study suggests that IFITM1 protein may act as a receptor for SARS-CoV-2 Spike protein. Assays must be advanced from in silico to in vitro for the determination of the receptor-ligand interactions between IFITM proteins and SARS-CoV-2.

scholarly journals Molecular Docking Analysis of Chloroquine and Hydroxychloroquine and Design of Anti-SARS-CoV2 Protease Inhibitor

2020 ◽  
Vol 14 (10) ◽  
pp. 52
Author(s):  
Usman Abdulfatai ◽  
Adamu Uzairu ◽  
Gideon Adamu Shallangwa ◽  
Sani Uba
Keyword(s):  
Amino Acids ◽  
Molecular Docking ◽  
Binding Energy ◽  
Binding Site ◽  
Docking Simulation ◽  
Binding Energies ◽  
Drug Candidate ◽  
Molecular Docking Study ◽  
Docking Analysis ◽  
Molecular Docking Analysis

In this present investigation, simulated molecular docking study of chloroquine and hydroxychloroquine compounds were investigated on the SARS-CoV2 enzyme to determine the types of amino acids responsible for the biochemical reaction at the binding site. A structure-based docking design technique was explored in designing a novel derivative of chloroquine for the treatment and management of new COVID 19 disease. To achieve this, the molecular docking simulation method was used to investigate the level of chloroquine and hydroxychloroquine (Drugs presently under clinical trial) interactions on SARS-CoV2 enzyme (a causative agent of COVID 19 disease). Chloroquine and hydroxychloroquine which has been debated as drugs for the management of COVID 19 were subjected to molecular docking analysis, and the binding energies generated were found to be -6.1 kcal/mol and -6.8 kcal/mol respectively. Moreover, novel 2-((4-((7-chloroquinolin-4 yl) amino)pentyl)((methylamino)methyl)amino) ethan-1-ol as an anti-SARS-CoV2 protease was designed through the structural modification of hydroxychloroquine. The binding energy of this drug candidate was found to be -6.9 kcal/mol. This novel drug was found to formed hydrogen and conventional interactions with the binding site of SARS-CoV2 protease through amino acids such as Glutamic acid (GLU166), Glycine (GLY143), Phenylalanine (PHE140), Asparagine (ASN142), Histidine (HIS163), His (HIS172, HIS41, HIS163), Leucine (LEU41, LEU27), Glycine (GLY143), Glutamine (GLN189), Methionine (MET49, MET165), Serine (SER 46), Cysteine (CYS145) and Threonine (THR25). With this binding energy, this new drug candidate could bind better to the human SARS-CoV2 protease&rsquo; binding site. This research provides a clue for other scientists on various ways of designing and identify the types of amino acids that may be responsible for biochemical action on SARS-CoV2 protease.

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