scholarly journals Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Muhammad Tukur Ibrahim ◽  
Adamu Uzairu ◽  
Sani Uba ◽  
Gideon Adamu Shallangwa
Keyword(s):  
Lung Cancer ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Positive Control ◽  
Computational Approach ◽  
Tyrosine Kinase Receptor ◽  
Binding Affinities ◽  
Binding Interaction ◽  
Pharmacokinetic Properties ◽  
Inhibitory Activities

Abstract Background Lung cancer remains the leading and deadly type of cancer worldwide. It was estimated to account for about 25% of the 7 million people that died as a result of cancer-related issues/mortality every year in the world. Non-small cell lung cancer (NSCLC) is the lethal/deadly class of lung cancer with nearly 1.5 million reported cases and less than 20% survival rate. Therefore, it becomes necessary to explore more effective NSCLC drugs. Result A computational approach was employed here to design ten new EGFRWT inhibitors using compound 18 as a template for the design identified with the best binding affinity and good pharmacokinetic properties previously reported in our work. The modeled inhibitory activities of these newly designed EGFRWT inhibitors (range from 7.746966 to 11.09261) were better than that of the hit compound with pIC50 of 7.5639 and gefitinib the positive control with pIC50 of 5.879426. The ligand-binding interaction between these newly designed EGFRWT inhibitors and the EGFR tyrosine kinase receptor as shown in Table 3 was investigated and elucidated using molecular docking protocol. Based on the molecular docking results, the binding affinities of these newly designed EGFRWT inhibitors were found to be between − 8.8 and − 9.5 kcal/mol. The designed compound SFD10 has the highest binding affinity of − 9.5 kcal/mol followed by compound SFD8 (with a binding affinity of − 9.3 kcal/mol), then by compound SFD9 and 4 (each with a binding affinity of − 9.3 kcal/mol). None of them was found to have more than one violation of the filtering criterion used in this study thereby showing good ADMET properties. Conclusion The modeled inhibitory activities and binding affinities of these newly designed EGFRWT inhibitors were found to be higher than that of the template compound and the control (gefitinib) used in this research. They were also seen to be non-toxic with good pharmacokinetic properties.

scholarly journals Molecular Docking Senyawa Asam Askorbat dan Kuersetin pada Tumbuhan Jambu Biji Merah (Psidium guajava L.) Sebagai Pencegah COVID-19

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Inggrid V. Gandu ◽  
Fona D. H. Budiarso ◽  
Billy J. Kepel ◽  
. Fatimawali ◽  
Aaltje Manampiring ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Ascorbic Acid ◽  
Molecular Docking ◽  
Immune System ◽  
Binding Affinity ◽  
In Silico ◽  
Preventive Measure ◽  
Psidium Guajava ◽  
Positive Control ◽  
Important Thing

Abstract: Coronavirus Disease 2019 or COVID-19 is an infectious disease first identified in Wuhan, China in December 2019. Prevention of COVID-19 infection is an important thing to do in reducing the spread of this virus. Boosting the body's immune system can be done as a preventive measure, one of which is by consuming natural plants such as red guava. This study aims to determine the molecular docking of red guava (Psidium guajava L.) as a plant to prevent COVID-19. This was an in silico with computerized methods. The samples in this study were ascorbic acid and quercetin compounds in red guava plants obtained from the PubChem website. The results showed that the binding affinity of ascorbic acid is -5.4 and the binding affinity of quercetin is -7.6. Remdesivir which was used as a positive control had a binding affinity of -7.3. In conclusion, quercetin compounds have better results than ascorbic acid compounds and remdesivir.Keywords: COVID-19, red guava, molecular docking  Abstrak: Coronavirus Disease 2019 atau COVID-19 merupakan suatu penyakit menular yang pertama kali ditemukan di Wuhan, Tiongkok pada Desember 2019. Pencegahan infeksi COVID-19 merupakan hal yang penting untuk dilakukan dalam mengurangi penyebaran dari virus ini. Meningkatkan sistem imun tubuh dapat dilakukan sebagai tindakan pencegahan salah satunya dengan mengonsumsi tumbuhan-tumbuhan alami seperti jambu biji merah. Penelitian ini bertujuan untuk mengetahui molecular docking jambu biji merah (Psidium guajava L.) sebagai tanaman pencegah COVID-19. Jenis penelitian ialah in silico dengan metode komputerisasi. Sampel penelitian yaitu senyawa asam askorbat dan kuersetin pada tumbuhan jambu biji merah yang diperoleh dari website pubchem. Hasil penelitian mendapatkan binding affinity dari senyawa asam askorbat yaitu -5.4 dan binding affinity dari senyawa kuersetin yaitu -7.6. Remdesivir yang dijadikan sebagai kontrol positif mendapatkan hasil binding affinity yaitu -7.3. Simpulan penelitian ini ialah senyawa kuersetin memiliki hasil yang lebih baik daripada senyawa asam askorbat dan juga obat remdesivir.Kata kunci: COVID-19, jambu biji merah, molecular docking

scholarly journals Molecular Docking Analysis Of Some Phytochemicals On Two SARS-CoV-2 Targets: Potential Lead Compounds Against Two Target Sites of SARS-CoV-2 Obtained from Plants

2020 ◽  
Author(s):  
Amaka Ubani ◽  
Francis Agwom ◽  
Oluwatoyin RuthMorenikeji ◽  
Shehu Nathan ◽  
Pam Luka ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
Potential Candidate ◽  
Binding Affinities ◽  
Protein Targets ◽  
Docking Analysis ◽  
Lead Compounds ◽  
Target Sites ◽  
Antiviral Activities ◽  
Molecular Docking Analysis

AbstractCOV spike (S) glycoprotein and Mpro are two key targets that have been identified for vaccines and drug development against the COVID-19 disease. Virtual screening of some compounds of plants origin that have shown antiviral activities were carried out on the two targets, 6lu7 and 6vsb by docking with the PyRx software. The binding affinities were compared with other compounds and drugs already identified as potential ligands for 6lu7 and 6vsb as well as Chloroquine and hydroxychloroquine. The docked compounds with best binding affinities were also filtered for drug likeness using the SwissADME and PROTOX platforms on the basis of Physicochemical properties and toxicity respectively. The docking results revealed that scopodulcic acid and dammarenolic acid had the best binding affinity on the s-glycoprotein and Mpro protein targets respectively. Silybinin also demonstrated a good binding affinity to both protein targets making it a potential candidate for further evaluation as repurposed candidate for SARS COV2 with likelihood of having a multitarget activity.

scholarly journals IDENTIFICATION OF POSSIBLE MOLECULAR TARGETS OF POTENTIAL ANTI-PARKINSON DRUGS BY PREDICTING THEIR BINDING AFFINITIES USING MOLECULAR DOCKING TECHNIQUE

2018 ◽  
Vol 11 (14) ◽  
pp. 28
Author(s):  
Maguemga Homsi Chanceline Dorice ◽  
Navneet Khurana ◽  
Neha Sharma ◽  
Gopal L Khatik
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
Energy Minimization ◽  
Molecular Targets ◽  
Mechanistic Study ◽  
Binding Affinities ◽  
Autodock Vina ◽  
3D Structures ◽  
Mao B ◽  
3D Software

Objective: Mechanistic study of newly reported anti-Parkinson agents by molecular docking to predict possible target.Methods: Structures of newer drugs known anti-Parkinson agents were drawn using ChemBioDraw 2D software. Thereafter, they were converted to 3D structures using ChemBioDraw 3D software in which they were subjected to energy minimization using the MM2 method and then saved as PDB extension files, which can be accessed using the AutoDock Vina (ADT) interface. ADT 1.5.6 software version was used for molecular docking study.Results: Various molecular targets were selected (D2/D3, D2, A2A, and MAO-B) and studied for Pardoprunox, Istradefylline, Rasagiline, and Bromocriptine. Pardoprunox, Istradefylline, and Bromocriptine had more affinity with their corresponding receptor with −6.9, −8.5, and −9.4 kcal/mol binding affinity, respectively, except Rasagiline, who has less affinity with its corresponding receptor (−6.4kcal/mol) and shown better affinity with 3pbl receptor (−6.7 kcal/mol).Conclusion: Pardoprunox, Istradefylline, and Bromocriptine were found to act on D2/D3 (3pbl), A2A (3pwh), and D2 (4yyw), respectively, whereas Rasagiline found to be act on D2/D3 (3pbl) receptor. The results help in prediction of mechanism and interaction to various Parkinson’s disease targets.

scholarly journals in silico Anti-Cholinestarase Activity of Flavonoids: A Computational Approach

2019 ◽  
Vol 31 (12) ◽  
pp. 2859-2864
Author(s):  
Niraj Kumar Singh ◽  
Somdutt Mujwar ◽  
Debapriya Garabadu
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
Docking Simulation ◽  
Docking Studies ◽  
Computational Approach ◽  
Molecular Docking Simulation ◽  
Flavonoid Compounds ◽  
Potent Inhibition ◽  
Potential Binding ◽  
Derivatives Of

In the present study, a computational approach has been designed to evaluate the potential anti-cholinesterase activity of derivatives of flavonoids. Molecular docking studies is performed for the 9 flavonoids against the human acetylcholine (ACh) enzyme to evaluate their binding affinity for having anti-alzheimer activity. All the 9 flavonoid compounds exhibited strong binding affinity that promises potent inhibition of human acetylcholine enzyme. Potential binding affinity of all the flavonoids against human acetylcholine enzyme confirms their possible mechanism of action by using AutoDock based molecular docking simulation technique. Thus, these flavonoid compounds could be presumed to be potential anti-cholinesterase drugs.

scholarly journals Chemical Profiles and Pharmacological Properties with in Silico Studies on Elatostema papillosum Wedd

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 809 ◽  
Author(s):  
Md. Zia Uddin ◽  
Arkajyoti Paul ◽  
Ahmed Rakib ◽  
Saad Ahmed Sami ◽  
Shafi Mahmud ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
Serotonin Receptor ◽  
Computational Study ◽  
Biological Activities ◽  
Binding Affinities ◽  
In Silico Studies ◽  
Cox 2 ◽  
Cox 1

The current study attempted, for the first time, to qualitatively and quantitatively determine the phytochemical components of Elatostema papillosum methanol extract and their biological activities. The present study represents an effort to correlate our previously reported biological activities with a computational study, including molecular docking, and ADME/T (absorption, distribution, metabolism, and excretion/toxicity) analyses, to identify the phytochemicals that are potentially responsible for the antioxidant, antidepressant, anxiolytic, analgesic, and anti-inflammatory activities of this plant. In the gas chromatography-mass spectroscopy analysis, a total of 24 compounds were identified, seven of which were documented as being bioactive based on their binding affinities. These seven were subjected to molecular docking studies that were correlated with the pharmacological outcomes. Additionally, the ADME/T properties of these compounds were evaluated to determine their drug-like properties and toxicity levels. The seven selected, isolated compounds displayed favorable binding affinities to potassium channels, human serotonin receptor, cyclooxygenase-1 (COX-1), COX-2, nuclear factor (NF)-κB, and human peroxiredoxin 5 receptor proteins. Phytol acetate, and terpene compounds identified in E. papillosum displayed strong predictive binding affinities towards the human serotonin receptor. Furthermore, 3-trifluoroacetoxypentadecane showed a significant binding affinity for the KcsA potassium channel. Eicosanal showed the highest predicted binding affinity towards the human peroxiredoxin 5 receptor. All of these findings support the observed in vivo antidepressant and anxiolytic effects and the in vitro antioxidant effects observed for this extract. The identified compounds from E. papillosum showed the lowest binding affinities towards COX-1, COX-2, and NF-κB receptors, which indicated the inconsequential impacts of this extract against the activities of these three proteins. Overall, E. papillosum appears to be bioactive and could represent a potential source for the development of alternative medicines; however, further analytical experiments remain necessary.

scholarly journals Cytotoxity and Anti- Small Cell Lung Cancer Potential of 3-Methoxy-5-Nitrosalicylaldehyde: A Analog for the Treatment of Diabetes Mellitus with Considerable Binding Affinity to α˗Amylase Enzyme

2021 ◽  
Author(s):  
Hongqing Wen ◽  
Junyan Wang ◽  
Saad H. Alotaibi
Keyword(s):  
Lung Cancer ◽  
Molecular Docking ◽  
Small Cell Lung Cancer ◽  
Binding Affinity ◽  
Cell Lines ◽  
Cell Lung Cancer ◽  
Biological Activities ◽  
Small Cell ◽  
Alpha Amylase ◽  
Small Cell Lung

IntroductionAlpha-amylase inhibitors are present in plants and are thought to be produced by plants to strengthen their defenses against predators. It contains plant components, polyphenolic compounds and glycoproteins with enzymatic inhibitory activity.Material and methodsThe molecular docking investigation was accomplished as a versatile method for the evaluation of the biological activities of 3-Methoxy-5-nitrosalicylaldehyde in the presence of alpha amylase. MTT test was used on normal (HUVEC) and small cell lung cancer (SBC-3, DMS273, and DMS114) cell lines.ResultsIn this study, inhibition result of metabolic enzyme was obtained IC50: 95.14 µM. The compound exhibited a considerable binding affinity to the enzyme with a docking score of -7.676 kcal/mol. The results of the molecular docking revealed that 3-Methoxy-5-nitrosalicylaldehyde is able to construct hydrophobic contacts with crucial residues of the catalytic domain of the enzyme. According to these findings, the compound has the potential to be an inhibitor for alpha amylase. 3-Methoxy-5-Nitrosalicylaldehyde had high cell death and anti-small cell lung cancer effects against SBC-3, DMS273, and DMS114 cell lines. Among the above cell lines, the best result of anti-small cell lung cancer properties of molecule was gained in the cell line of DMS273.ConclusionsThe results of this study indicated the excellent anti-small cell lung cancer potentials of 3-Methoxy-5-Nitrosalicylaldehyde in the in vitro condition. After confirming the above results in the clinical trial researches, this formulation may be administrated for the treatment of several types of small cell lung cancer in humans.

scholarly journals HIGH-THROUGHPUT SCREENING AND DYNAMIC STUDIES OF SELECTED COMPOUNDS AGAINST SARS-COV-2

2022 ◽  
pp. 251-260
Author(s):  
RATUL BHOWMIK ◽  
RANAJIT NATH ◽  
SAMEER SHARMA ◽  
RATNA ROY ◽  
RIYA BISWAS
Keyword(s):  
Drug Delivery ◽  
Molecular Docking ◽  
Binding Affinity ◽  
High Throughput Screening ◽  
In Silico Analysis ◽  
Inhibitory Effect ◽  
Binding Affinities ◽  
Pubchem Database ◽  
Potential Inhibitors ◽  
3Cl Protease

Objective: This study was aimed to analyze the inhibitory effect of the drugs used in nanocarrier as well as nanoparticles formulation based drug delivery system selected from PubChem database literature against 3CLpro (3C-like protease) receptor of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) by implementing several in silico analysis techniques. Methods: This paper detailed a molecular docking-based virtual screening of 5240 compounds previously utilized in nanoparticle and nanocarrier drug delivery systems utilizing AutoDock Vina software on 3CL protease to discover potential inhibitors using a molecular docking technique. Results: According to the results of the screening, the top two compounds, PubChem Id 58823276 and PubChem Id 60838 exhibited a high affinity for the 3CL protease binding region. Their binding affinities were-9.6 and-8.5 kJ/mol, indicating that they were tightly bound to the target receptor, respectively. These results outperformed those obtained using the co-crystallized native ligand, which exhibited a binding affinity of-7.4 kJ/mol. PubChem Id 60838, the main hit compound in terms of both binding affinity and ADMET analysis, displayed substantial deformability after MD simulation. As a result of the VS and molecular docking techniques, novel 3CL protease inhibitors from the PubChem database were discovered using the Lipinski rule of five and functional molecular contacts with the target protein, as evidenced by the findings of this work. Conclusion: The findings suggest that the compounds discovered may represent attractive opportunities for the development of COVID-19 3CLpro inhibitors and that they need further evaluation and investigation.

scholarly journals Molecular docking analysis of selected phytochemicals on two SARS-CoV-2 targets

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1157
Author(s):  
Amaka Ubani ◽  
Francis Agwom ◽  
Oluwatoyin Ruth Morenikeji ◽  
Nathan Yakubu Shehu ◽  
Emmanuel Arinze Umera ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
Drug Formulation ◽  
Potential Candidate ◽  
Binding Affinities ◽  
Plant Origin ◽  
Protein Targets ◽  
Docking Analysis ◽  
Antiviral Activities

Background: The coronavirus spike (S) glycoprotein and M protease are two key targets that have been identified for vaccines and drug development against COVID-19. Methods: Virtual screening of some compounds of plant origin that have shown antiviral activities were carried out on the two targets, the M protease (PDB ID 6LU7) and S glycoprotein (PDB ID 6VSB), by docking with PyRx software. The binding affinities were compared with other compounds and drugs already identified as potential ligands for the M protease and S glycoprotein, as well as chloroquine and hydroxychloroquine. The docked compounds with best binding affinities were also filtered for drug likeness using the SwissADME and PROTOX platforms on the basis of physicochemical properties and toxicity, respectively. Results: The docking results revealed that scopadulcic acid and dammarenolic acid had the best binding affinity for the S glycoprotein and Mpro protein targets, respectively. Silybinin, through molecular docking, also demonstrated good binding affinity for both protein targets making it a potential candidate for further evaluation as repurposed candidate for SARS-CoV-2, with likelihood of having multitarget activity as it showed activities for both targets. Conclusions: The study proposes that scopadulcic acid and dammarenolic acid be further evaluated in vivo for drug formulation against SARS-COV-2 and possible repurposing of Silybinin for the management of COVIV-19.

scholarly journals Molecular Docking Terhadap Senyawa Kurkumin dan Arturmeron pada Tumbuhan Kunyit (Curcuma Longa Linn.) yang Berpotensi Menghambat Virus Corona

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Tiara C. Pradani ◽  
. Fatimawali ◽  
Aaltje E. Manampiring ◽  
Billy J. Kepel ◽  
Fona D. Budiarso ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
In Silico ◽  
Virus Disease ◽  
Curcuma Longa ◽  
Positive Control ◽  
Tropical Plant ◽  
Corona Virus ◽  
Main Protease ◽  
Close Relationship

Abstract: At the end of 2019 the world was shocked by the emergence of a new virus, namely the corona virus (SARS-CoV 2) which is called Corona Virus Disease 2019 or COVID-19. The origin of the emergence of this virus is known to have originated in the city of Wuhan, Hubei Province, China in December 2019.1 Research shows a close relationship with the corona virus that causes Severe Acute Respitatory Syndrome (SARS) which broke out in Hong Kong in 2003, until WHO named it the novel corona virus ( nCoV19). Turmeric (Curcuma longa L.) is a tropical plant that has many benefits and is found in many parts of Indonesia. Turmeric is widely used by the community as a traditional medicine to treat several diseases, such as: anti-inflammatory, antioxidant, hepatoprotective, and others. This study aims to determine the content in several compounds in the turmeric plant that have the potential to inhibit COVID-19 by using the molecular docking method. Using the In Silico method, namely molecular docking with the compounds taken were curcumin and ar-turmerone and the main protease COVID-19 (6LU7). This study obtained the binding affinity of curcumin compounds, namely -7.2 and Ar-turmerone -5.8 compounds against Mpro COVID-19. Remdesivir, which was used as a positive control, had a binding affinity of -7.7. In conclusion, remdesivir got better results compared to curcumin and Ar-turmerone compounds.Keywords: Molecular Docking, Turmeric, COVID-19.  Abstrak: Pada akhir tahun 2019 dunia digemparkan dengan munculnya virus baru yaitu corona virus (SARS-CoV 2) yang disebut dengan Corona Virus Disease 2019 atau COVID-19. Awal mula munculnya virus ini diketahui berasal dari Kota Wuhan, Provinsi Hubei, China pada Desember 2019.1  Penelitian menunjukkan hubungan yang dekat dengan virus corona penyebab Severe Acute Respitatory Syndrome (SARS) yang mewabah di Hongkong pada tahun 2003, hingga WHO menamakannya sebagai novel corona virus (nCoV19). Kunyit (Curcuma longa L.) merupakan salah satu jenis tanaman tropis yang banyak memiliki manfaat dan banyak ditemukan di wilayah Indonesia. Kunyit banyak dimanfaatkan masyarakat sebagai obat tradisional untuk mengobati beberapa penyakit seperti: antiinflamasi, antioksidan, hepatoprotektor, dan lain-lain. Penelitian ini bertujuan untuk mengetahui kandungan dalam beberapa senyawa pada tumbuhan kunyit yang berpotensi menghambat COVID-19 dengan metode molecular docking. Menggunakan metode In Silico yaitu molecular docking dengan senyawa yang diambil adalah kurkumin dan ar-Turmerone dan main protease COVID-19 (6LU7). Penelitian ini didapatkan hasil binding affinity senyawa kurkumin yaitu -7.2 dan senyawa ar-turmeron -5.8 terhadap Mpro COVID-19. Remdesivir yang digunakan sebagai control positif mendapatkan hasil binding affinity yaitu -7.7. Sebagai simpulan, remdesivir mendapat hasil yang lebih baik dibandingkan dengan senyawa kurkumin dan ar-turmeron.Kata Kunci: Molecular Docking, Kunyit, COVID-19.

scholarly journals Molecular Docking Studies of N-Acetyl Cysteine, Zinc Acetyl Cysteine and Niclosamide on SARS Cov 2 Protease and Its Comparison with Hydroxychloroquine

2020 ◽  
Author(s):  
Roopa Guthappa
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Active Sites ◽  
Antiviral Drug ◽  
Docking Studies ◽  
Binding Affinities ◽  
Binding Interaction ◽  
Molecular Docking Studies ◽  
Main Protease ◽  
Acetyl Cysteine

<p><b>To</b></p> <p><b>Respected Sir/Madam</b> </p> <p>Chemarxiv</p> <p> </p> <p><b>Respected Sir/Madam</b> </p> <p> </p> <p><b>Sub</b>: submission of preprint of article to Chemarxiv for online publication.</p> <p> </p> <p>I am herewith submitting the preprint of an article entitled “Molecular docking studies of N-acetyl cysteine, zinc acetyl cysteine and niclosamide on SARS Cov 2 protease and its comparison with hydroxychloroquine” for possible publication in “Chemarxiv”.</p> <p> </p> <p>In this article, we have evaluated the binding abilities of N-acetyl cysteine, zinc acetyl cysteine and niclosamide (antiviral drug) with SARS-COV-2 protease. All the four compounds investigated are effective and selectively bind to active sites of main protease. N-acetyl cysteine being a derivative of cysteine interacts with Cys-145, His-163, Gly-143 of COV-2 protease, zinc acetyl cysteine binds to Gly-143, Ser-144, Cys-145, Glu-166 of COV-2 protease and niclosamide bind to Glu-166, Cys-145, His 41 of main protease. The data has been compared with hydroxychloroquine which effectively binds to Cys-145, Glu-166, Arg-188. The binding affinities of N-acetyl cysteine, zinc-acetyl cysteine and niclosamide are -4.24, -4.29 and -7.5 kcal mol<sup>-1</sup> while for hydroxychloroquine it is -6.66 kcal mol<sup>-1</sup>. Niclosamide with its lowest binding energy interacts with His-41 and Cys-145 which may be the first molecule to show such binding interaction. The results indicate that N-acetyl cysteine, zinc-acetyl cysteine and niclosamide can also be explored for the treatment for SARS COV-2 as an alternative for hydroxychloroquine.</p> <p>I hope that the manuscript will full fill the journal’s requirements and will get accepted for publication. </p> <p>Thanking you</p> <p> </p> <p>With regards</p> <p>Roopa Guthappa</p> <p><a href="mailto:[email protected]">[email protected]</a></p>

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