scholarly journals Molecular Docking Senyawa Vitexin, Ursolic Acid dan Flavonol dalam Tumbuhan Binahong (Andredera Cordifolia (Ten.) Steenis) yang Berpotensi sebagai Penghambat Pertumbuhan COVID-19

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Sensea R. Rambitan ◽  
Aaltje Manampiring ◽  
. Fatimawali ◽  
Billy J. Kepel ◽  
Fona Budiarso ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
Ursolic Acid ◽  
In Silico ◽  
Van Der Waals ◽  
Specific Treatment ◽  
Amino Acid Residues ◽  
The People ◽  
The World ◽  
Affinity Score

Abstract: Currently, there is no specific treatment for all the COVID-19 patients the procedures that can be done are just a symptomatic and oxygen therapy, Therefore all the people around the world have try to avoid this infection by consuming the potensial plants that can boost our body immunity like Binahong.  This study was an in silico experimental. The finale result is the binding affinity score from each compound, for vitexin’s binding affinity score is – 8.0 kcal/mol, ursolic acid – 7.6 kcal/mol and flavonol – 7.8 kcal/mol. The finale result of this procedure also obtained all the amino acid residues that works on the active site of receptor 6LU7 as a main protase of COVID-19, namely THR24, LEU27, HIS41, THR45, SER46, MET49, PHE140, LEU141, ASN142, GLY143, SER144, CYS145, HIS163, MET165, GLU166 and HIS172. In conclusion, the binding affinity of vitexin, ursolic acid and flavonol are higher than remdesivir. Vitexin, ursolic acid and flavonol have a several similar bonds, particularly the van der waals bond and hydrogen bond.Keywords: Molecular docking, COVID-19, binahong, flavonoid Abstrak: Saat ini belum tersedia rekomendasi tatalaksana khusus bagi pasien COVID-19, termasuk antivirus atau vaksin dan tata laksana yang dapat dilakukan adalah terapi simtomatik dan karena itulah, masyarakat dunia mencoba banyak cara agar menghindari infeksi virus ini dengan mengolah dan mengonsumsi tumbuhan yang dinilai berpotensi dalam meningkatkan imunitas tubuh seperti tumbuhan Binahong. Penelitian ini menggunakan metode penelitian in silico. Pada hasil akhir penelitian diperoleh nilai binding affinity dari ketiga senyawa yaitu senyawa vitexin - 8.0 kcal/mol, Ursolic Acid -7.6 kcal/mol dan Flavonol -7.8 kcal/mol. Diperoleh data mengenai residu asam amino yang bekerja pada sisi aktif reseptor 6LU7 sebagai main protase COVID-19 yaitu THR24, LEU27, HIS41, THR45, SER46, MET49, PHE140, LEU141, ASN142, GLY143, SER144, CYS145, HIS163, MET165, GLU166, dan HIS172. Sebagai simpulan, binding affinity dari senyawa vitexin, ursolic acid dari flavonol lebih tinggi dari nilai binding affinity remdesivir. Senyawa vitexin, ursolic acid dan flavonol memiliki beberapa jenis ikatan yang sama termasuk ikatan van der Waals dan ikatan hydrogen.Kata Kunci: Molecular docking, COVID-19, binahong, flavonoid

scholarly journals IN SILICO STUDIES ON DIACYL DERIVATIVES OF PHLOROGLUCINOL TO ENHANCE PHARMACODYNAMIC AND PHARMACOKINETIC PROFILES OF 2,4,6-TRIHYDROXY-3-GERANYL-ACETOPHENONE

2021 ◽  
pp. 173-179
Author(s):  
SHEAU WEI CHIONG ◽  
CHEAN HUI NG ◽  
KHOZIRAH SHAARI
Keyword(s):  
Molecular Docking ◽  
Amino Acid ◽  
Chain Length ◽  
In Silico ◽  
Van Der Waals ◽  
Side Chains ◽  
Amino Acid Residues ◽  
Pharmacokinetic Profiles ◽  
In Silico Studies ◽  
Derivatives Of

Objective: The purpose of this study was to evaluate the LOX inhibitory activity, and predict the drug likeness properties of designed diacyl derivatives of phloroglucinol, using in silico method. Methods: The designed derivatives were subjected to molecular docking using AUTODOCK while the receptor used in this study was built from SWISS MODEL. Drug likeness properties of the derivatives were calculated by online programs i.e. MOLINSPIRATION and PreADMET. Results: Molecular docking study revealed that designed tHGA derivative with four-carbon chain length exhibited the best binding affinity with the docking scores of -7.26kcal/mol. Three types of binding interactions were observed between the derivatives and the receptor site i.e H-bonding, hydrophobic and Van der Waals interactions. The important amino acid residues involved in H-bonding were Gln495 and Gln697, while other amino acid residues, such as Leu754 and Ile 553, were involved in the Van der Waals interaction. The designed tHGA derivatives were mainly stabilized through hydrophobic interactions with His499, His504, Ile538, Phe557 and Val750. In silico physicochemical calculations predicted that all the designed derivatives passed the Lipinski’s Rule of 5, and have good human intestinal absorption property (HIA>70%). Further, all the designed derivatives showed moderate central nervous system absorption (0.6<BBB<2.0), except for the derivative with a longer (5-Cs) chain length. Conclusion: The findings of the present study suggested that changing the acyl and geranyl side chains of the natural product molecule, tHGA, into two acyl bearing side chains, will improve its pharmacodynamic and pharmacokinetic profiles.

scholarly journals Penambatan Molekuler α, β, dan γ-mangostin Sebagai Inhibitor α-amilase Pankreas Manusia

2019 ◽  
Vol 6 (2) ◽  
pp. 59-66
Author(s):  
Nelson Gaspersz ◽  
Mario Rowan Sohilait
Keyword(s):  
Molecular Docking ◽  
Hydrogen Bonds ◽  
Binding Affinity ◽  
In Silico ◽  
Van Der Waals ◽  
Affinity Ligand ◽  
Docking Method ◽  
In Silico Studies ◽  
Potential Activity ◽  
Molecular Docking Method

In silico studies on interactions between the human pancreatic α-amylase (HPA) enzyme with α, β, and γ-mangostin ligands has been carried out using the molecular docking method. Ligands α, β, and γ-mangostin interact through the formation of hydrogen and van der waals bonds with residues on the enzyme active side. The α-mangostin ligands form seven hydrogen and six van der waals bonds with residues involved were Trp59, Gln63, Trp96, Thr163, Thr164, Ala198, His201, Glu233, and Asp300; β-mangostin forms five hydrogen and eight van der waals bonds with residues involved were Gln63, Trp96, Thr163, Thr164, Arg195, Asp197, His201, Glu233, Asp300, and His305; while γ-mangostin forms nine hydrogen and five van der waals bonds with residues involved were Trp59, Gln63, Trp96, Thr163, Asp197, Ala198, His201, Glu233, and Asp300. The binding afinity of α, β, and γ-mangostin to the HPA obtained were -7.0; -6.6; and -7.4 kcal/mol with RMSD value were 1,850; 1,956; and 1,811 Å, respectively. The number of hydrogen bonds that can be formed was responsible to the binding affinity. Ligand γ-mangostin has potential activity as an inhibitor of HPA enzyme due to the stable complexes formation with lower binding affinity (validated with RMSD value) when compared to α and β-mangostin.

scholarly journals GENETIC INVOLVEMENT OF INTERLEUKIN 4 FOR ASTHMA AND IDENTIFICATION OF POTENTIAL PHYTOCHEMICAL SCAFFOLD THROUGH MOLECULAR DOCKING STUDIES

2018 ◽  
Vol 10 (1) ◽  
pp. 43 ◽  
Author(s):  
S. Sarithamol ◽  
Divya V. ◽  
Sunitha V. R. ◽  
Suchitra Surendran ◽  
V. L. Pushpa ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Small Molecules ◽  
In Silico ◽  
Mutational Analysis ◽  
Chromosome Region ◽  
Specific Treatment ◽  
Docking Studies ◽  
Interleukin 4 ◽  
Receptor Interaction ◽  
Drug Candidates

Objective: Interleukin 4, an important cytokine, has the major role in the immunomodulatory responses associated with asthma. The present study focused on the involvement of single nucleotide polymorphism variation (SNP) of interleukin 4 (IL4) in the development of disease, asthma and designing small molecules for the inhibition of IL4 through in silico strategy.Methods: Identification of disease causing SNP will be a wise approach towards the phenotype specific treatment. A human origin deleterious no synonymous SNP of IL4 were found out in the chromosome region 5q31-q33 (rs199929962) (T/C). Proteins of the corresponding nucleotide variation were identified and were subjected to characterization studies for selecting the most appropriate one for further mutational analysis and molecular docking studies.Results: Influence of microbes on SNP variation of IL4 gene leading to asthma was found to be insignificant by metagenomic studies. Gene responsive drugs were identified through environmental factor analysis. The drug candidates including corticosteroids were subjected to protein interaction studies by in silico means. The pharmacophoric feature derived from drug receptor interaction was utilized for virtual screening on a dataset of anti-inflammatory phytomolecules. The scaffolds of ellagic acid and quercetin were identified as potential nonsteroidal entities which can shield the asthmatic activities.Conclusion: Developing small molecules using these scaffolds taking interleukin 4 as a target will be an adequate solution for steroid resistant asthma.

scholarly journals Molecular Docking Senyawa Gingerol dan Zingiberol pada Tanaman Jahe sebagai Penanganan COVID-19

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Belinda D. P. M. Ratu ◽  
Widdhi Bodhi ◽  
Fona Budiarso ◽  
Billy J. Kepel ◽  
. Fatimawali ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
Amino Acid Residues ◽  
Autodock Vina ◽  
Discovery Studio ◽  
Main Protease ◽  
Docking Method ◽  
Pubmed Database ◽  
Almost All ◽  
The Impact

Abstract: COVID-19 is a new disease. Many people feel the impact of this disease. There is no definite cure for COVID-19, so many people use traditional medicine to ward off COVID-19, including ginger. This study aims to determine whether there is an interaction between compounds in ginger (gingerol and zingiberol) and the COVID-19’s main protease (6LU7). This study uses a molecular docking method using 4 main applications, namely Autodock Tools, Autodock Vina, Biovia Discovery Studio 2020, and Open Babel GUI. The samples used were gingerol and zingiberol compounds in ginger plants downloaded from Pubchem. The data used in this study used Mendeley, Clinical Key, and PubMed database. The study showed that almost all of the amino acid residues in the gingerol compound acted on the 6LU7 active site, whereas the zingiberol did not. The results of the binding affinity of ginger compounds, both gingerol and zingiberol, do not exceed the binding affinity of remdesivir, a drug that is widely researched as a COVID-19 handling drug. In conclusion, gingerol and zingiberol compounds in ginger can’t be considered as COVID-19’s treatment.Keywords: molecular docking, gingerol, zingiberol Abstrak: COVID-19 merupakan sebuah penyakit yang baru. Banyak masyarakat yang merasakan dampak dari penyakit ini. Belum ada pengobatan pasti untuk menyembuhkan COVID-19, sehingga banyak masyarakat yang menggunakan pengobatan tradisional untuk menangkal COVID-19, termasuk jahe. Penelitian ini bertujuan untuk mengetahui apakah ada interaksi antara senyawa pada jahe (gingerol dan zingiberol) dengan main protease COVID-19 (6LU7). Penelitian ini menggunakan metode molecular docking dengan menggunakan 4 aplikasi utama, yaitu Autodock Tools, Autodock Vina, Biovia Discovery Studio 2020, dan Open Babel GUI. Sampel yang digunakan yaitu senyawa gingerol dan zingiberol pada tanaman jahe yang diunduh di Pubchem. Data yang digunakan dalam penelitian ini menggunakan database Mendeley, Clinical Key, dan PubMed. Penelitian menunjukkan bahwa hampir semua residu asam amino pada senyawa gingerol bekerja pada sisi aktif 6LU7, sedangkan tidak demikian pada zingiberol. Hasil binding affinity senyawa jahe, baik gingerol maupun zingiberol tidak  melebihi binding affinity remdesivir, obat yang banyak diteliti sebagai obat penanganan COVID-19. Sebagai simpulan, senyawa gingerol dan zingiberol pada tanaman jahe tidak dapat dipertimbangkan sebagai penanganan COVID-19Kata Kunci: molecular docking, gingerol, zingiberol

scholarly journals Pengaruh Minimisasi Energi MMFF94 dengan MarvinSketch dan Open Babel PyRx pada Penambatan Molekular Turunan Oksindola Tersubstitusi

ALCHEMY ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 33-40
Author(s):  
Atika Umi Hanif ◽  
Prima Agusti Lukis ◽  
Arif Fadlan
Keyword(s):  
Molecular Docking ◽  
Drug Discovery ◽  
Force Field ◽  
Binding Affinity ◽  
Energy Minimization ◽  
In Silico ◽  
Initial State ◽  
Molecular Force ◽  
Molecular Force Field ◽  
Docking Energy

 In silico technique is widely used for drug discovery because it can predict the conformation of ligands in protein macromolecules and it can calculate the binding affinity. The energy minimization is carried out to make the ligand more stable near the initial state during molecular docking process. The Merck Molecular Force Field (MMFF94) is one type of energy minimization process often used in organic compounds. The molecular docking of substituted oxindole derivatives on indoleamine macromolecules 2,3-dioxygenase (IDO-1, PDB: 2D0T) by MMFF94 minimization operated by MarvinSketch and Open Babel in PyRx showed different results. The binding affinity energy obtained was also quite different, but the ligands have the same conformation and bind the same residue with slightly different bond distances. Keywords: Molecular docking, energy minimization, substituted oxindole, Merck Molecular Force Field 94  Teknik in silico banyak digunakan untuk penemuan senyawa obat karena dapat memprediksi konformasi suatu ligan dalam makromolekul protein dan mampu menghitung nilai afinitas ikatan. Proses minimisasi energi dilakukan untuk menjadikan ligan lebih stabil mendekati keadaan awal selama penambatan molekular berlangsung. Merck Molecular Force Field (MMFF94) adalah salah satu jenis persamaan minimisasi energi yang sering digunakan pada senyawa organik. Hasil pengujian pengaruh minimisasi energi dengan MMFF94 menggunakan program MarvinSketch dan Open Babel dalam PyRx pada turunan oksindola tersubstitusi alkil terhadap makromolekul 2,3-dioxygenase indoleamine (IDO-1, PDB: 2D0T) menunjukkan hasil dengan nilai yang berbeda. Energi afinitas ikatan yang didapatkan juga cukup berbeda, namun ligan memiliki konformasi yang sama dan mengikat residu yang sama dengan jarak ikatan yang sedikit berbeda. Kata kunci: Penambatan molekular, minimisasi energi, oksindola tersubstitusi, Merck Molecular Force Field 94

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 Characterization of α-Glucosidase Inhibitors from Psychotria malayana Jack Leaves Extract Using LC-MS-Based Multivariate Data Analysis and In-Silico Molecular Docking

Molecules ◽  
2020 ◽  
Vol 25 (24) ◽  
pp. 5885
Author(s):  
Tanzina Sharmin Nipun ◽  
Alfi Khatib ◽  
Zalikha Ibrahim ◽  
Qamar Uddin Ahmed ◽  
Irna Elina Redzwan ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Data Analysis ◽  
Binding Affinity ◽  
Bioactive Compounds ◽  
In Silico ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Partial Least Square ◽  
Protein Data Bank Code ◽  
Glucosidase Inhibitors

Psychotria malayana Jack has traditionally been used to treat diabetes. Despite its potential, the scientific proof in relation to this plant is still lacking. Thus, the present study aimed to investigate the α-glucosidase inhibitors in P.malayana leaf extracts using a metabolomics approach and to elucidate the ligand–protein interactions through in silico techniques. The plant leaves were extracted with methanol and water at five various ratios (100, 75, 50, 25 and 0% v/v; water–methanol). Each extract was tested for α-glucosidase inhibition, followed by analysis using liquid chromatography tandem to mass spectrometry. The data were further subjected to multivariate data analysis by means of an orthogonal partial least square in order to correlate the chemical profile and the bioactivity. The loading plots revealed that the m/z signals correspond to the activity of α-glucosidase inhibitors, which led to the identification of three putative bioactive compounds, namely 5′-hydroxymethyl-1′-(1, 2, 3, 9-tetrahydro-pyrrolo (2, 1-b) quinazolin-1-yl)-heptan-1′-one (1), α-terpinyl-β-glucoside (2), and machaeridiol-A (3). Molecular docking of the identified inhibitors was performed using Auto Dock Vina software against the crystal structure of Saccharomyces cerevisiae isomaltase (Protein Data Bank code: 3A4A). Four hydrogen bonds were detected in the docked complex, involving several residues, namely ASP352, ARG213, ARG442, GLU277, GLN279, HIE280, and GLU411. Compound 1, 2, and 3 showed binding affinity values of −8.3, −7.6, and −10.0 kcal/mol, respectively, which indicate the good binding ability of the compounds towards the enzyme when compared to that of quercetin, a known α-glucosidase inhibitor. The three identified compounds that showed potential binding affinity towards the enzymatic protein in molecular docking interactions could be the bioactive compounds associated with the traditional use of this plant.

Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajeesh Kumar N.V. ◽  
Arun M. ◽  
Baraneetharan E. ◽  
Stanly Jaya Prakash J. ◽  
Kanchana A. ◽  
...  
Keyword(s):  
New Technologies ◽  
Specific Treatment ◽  
Lung Damage ◽  
World Health ◽  
Smart Devices ◽  
The Internet ◽  
Content Type ◽  
The People ◽  
The World ◽  
The Impact

Purpose Many investigations are going on in monitoring, contact tracing, predicting and diagnosing the COVID-19 disease and many virologists are urgently seeking to create a vaccine as early as possible. Even though there is no specific treatment for the pandemic disease, the world is now struggling to control the spread by implementing the lockdown worldwide and giving awareness to the people to wear masks and use sanitizers. The new technologies, including the Internet of things (IoT), are gaining global attention towards the increasing technical support in health-care systems, particularly in predicting, detecting, preventing and monitoring of most of the infectious diseases. Similarly, it also helps in fighting against COVID-19 by monitoring, contract tracing and detecting the COVID-19 pandemic by connection with the IoT-based smart solutions. IoT is the interconnected Web of smart devices, sensors, actuators and data, which are collected in the raw form and transmitted through the internet. The purpose of this paper is to propose the concept to detect and monitor the asymptotic patients using IoT-based sensors. Design/methodology/approach In recent days, the surge of the COVID-19 contagion has infected all over the world and it has ruined our day-to-day life. The extraordinary eruption of this pandemic virus placed the World Health Organization (WHO) in a hazardous position. The impact of this contagious virus and scarcity among the people has forced the world to get into complete lockdown, as the number of laboratory-confirmed cases is increasing in millions all over the world as per the records of the government. Findings COVID-19 patients are either symptomatic or asymptotic. Symptomatic patients have symptoms such as fever, cough and difficulty in breathing. But patients are also asymptotic, which is very difficult to detect and monitor by isolating them. Originality/value Asymptotic patients are very hazardous because without knowing that they are infected, they might spread the infection to others, also asymptotic patients might be having very serious lung damage. So, earlier prediction and monitoring of asymptotic patients are mandatory to save their life and prevent them from spreading.

scholarly journals Evaluating Iso-Mukaadial Acetate and Ursolic Acid Acetate as Plasmodium falciparum Hypoxanthine-Guanine-Xanthine Phosphoribosyltransferase Inhibitors

Biomolecules ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 861
Author(s):  
Francis Opoku ◽  
Penny P. Govender ◽  
Ofentse J. Pooe ◽  
Mthokozisi B.C. Simelane
Keyword(s):  
Plasmodium Falciparum ◽  
Molecular Docking ◽  
Ursolic Acid ◽  
Mode Of Action ◽  
In Silico ◽  
Structural Basis ◽  
Depth Information ◽  
Dependent Manner ◽  
High Affinity ◽  
Molecular Docking And Dynamics

To date, Plasmodium falciparum is one of the most lethal strains of the malaria parasite. P. falciparum lacks the required enzymes to create its own purines via the de novo pathway, thereby making Plasmodium falciparum hypoxanthine-guanine-xanthine phosphoribosyltransferase (PfHGXPT) a crucial enzyme in the malaria life cycle. Recently, studies have described iso-mukaadial acetate and ursolic acid acetate as promising antimalarials. However, the mode of action is still unknown, thus, the current study sought to investigate the selective inhibitory and binding actions of iso-mukaadial acetate and ursolic acid acetate against recombinant PfHGXPT using in-silico and experimental approaches. Recombinant PfHGXPT protein was expressed using E. coli BL21 cells and homogeneously purified by affinity chromatography. Experimentally, iso-mukaadial acetate and ursolic acid acetate, respectively, demonstrated direct inhibitory activity towards PfHGXPT in a dose-dependent manner. The binding affinity of iso-mukaadial acetate and ursolic acid acetate on the PfHGXPT dissociation constant (KD), where it was found that 0.0833 µM and 2.8396 µM, respectively, are indicative of strong binding. The mode of action for the observed antimalarial activity was further established by a molecular docking study. The molecular docking and dynamics simulations show specific interactions and high affinity within the binding pocket of Plasmodium falciparum and human hypoxanthine-guanine phosphoribosyl transferases. The predicted in silico absorption, distribution, metabolism and excretion/toxicity (ADME/T) properties predicted that the iso-mukaadial acetate ligand may follow the criteria for orally active drugs. The theoretical calculation derived from ADME, molecular docking and dynamics provide in-depth information into the structural basis, specific bonding and non-bonding interactions governing the inhibition of malarial. Taken together, these findings provide a basis for the recommendation of iso-mukaadial acetate and ursolic acid acetate as high-affinity ligands and drug candidates against PfHGXPT.

Sign in / Sign up

Export Citation Format

Share Document