Unravelling high-affinity binding compounds towards transmembrane protease serine 2 enzyme in treating SARS-CoV-2 infection using molecular modelling and docking studies
The coronavirus disease-19 (COVID-19) outbreak that is caused by a highly contagious severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become a zoonotic pandemic, with approximately 24.5 million positive cases and 8.3 lakhs deaths globally. The lack of effective drugs or vaccine provo...
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Published in: | European journal of pharmacology Vol. 890; p. 173688 |
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Abstract | The coronavirus disease-19 (COVID-19) outbreak that is caused by a highly contagious severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become a zoonotic pandemic, with approximately 24.5 million positive cases and 8.3 lakhs deaths globally. The lack of effective drugs or vaccine provoked the research for drug candidates that can disrupt the spread and progression of the virus. The identification of drug molecules through experimental studies is time-consuming and expensive, so there is a need for developing alternative strategies like in silico approaches which can yield better outcomes in less time. Herein, we selected transmembrane protease serine 2 (TMPRSS2) enzyme, a potential pharmacological target against SARS-CoV-2, involved in the spread and pathogenesis of the virus. Since 3D structure is not available for this protein, the present study aims at homology modelling and validation of TMPRSS2 using Swiss-model server. Validation of the modelled TMPRSS2 using various online tools confirmed model accuracy, topology and stereochemical plausibility. The catalytic triad consisting of Serine-441, Histidine-296 and Aspartic acid-345 was identified as active binding site of TMPRSS2 using existing ligands. Molecular docking studies of various drugs and phytochemicals against the modelled TMPRSS2 were performed using camostat as a standard drug. The results revealed eight potential drug candidates, namely nafamostat, meloxicam, ganodermanontriol, columbin, myricetin, proanthocyanidin A2, jatrorrhizine and baicalein, which were further studied for ADME/T properties. In conclusion, the study unravelled eight high affinity binding compounds, which may serve as potent antagonists against TMPRSS2 to impact COVID-19 drug therapy.
•3D structure of TMPRSS2 was constructed using Homology modeling and was validated.•50 K Ligand was utilized to reveal the active site of modelled TMPRSS2.•A total of twenty-five natural and marketed compounds were studied.•Nafamostatat, Meloxicam, Ganodermanontriol, Columbin, Myricetin, Proanthocyanidin A2, Jatrorrhizine and Baicalein shown good binding energies.•These potent TMPRSS2 inhibitors can prevent spread of SARS-CoV-2, aid in treatment of COVID-19. |
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AbstractList | The coronavirus disease-19 (COVID-19) outbreak that is caused by a highly contagious severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become a zoonotic pandemic, with approximately 24.5 million positive cases and 8.3 lakhs deaths globally. The lack of effective drugs or vaccine provoked the research for drug candidates that can disrupt the spread and progression of the virus. The identification of drug molecules through experimental studies is time-consuming and expensive, so there is a need for developing alternative strategies like in silico approaches which can yield better outcomes in less time. Herein, we selected transmembrane protease serine 2 (TMPRSS2) enzyme, a potential pharmacological target against SARS-CoV-2, involved in the spread and pathogenesis of the virus. Since 3D structure is not available for this protein, the present study aims at homology modelling and validation of TMPRSS2 using Swiss-model server. Validation of the modelled TMPRSS2 using various online tools confirmed model accuracy, topology and stereochemical plausibility. The catalytic triad consisting of Serine-441, Histidine-296 and Aspartic acid-345 was identified as active binding site of TMPRSS2 using existing ligands. Molecular docking studies of various drugs and phytochemicals against the modelled TMPRSS2 were performed using camostat as a standard drug. The results revealed eight potential drug candidates, namely nafamostat, meloxicam, ganodermanontriol, columbin, myricetin, proanthocyanidin A2, jatrorrhizine and baicalein, which were further studied for ADME/T properties. In conclusion, the study unravelled eight high affinity binding compounds, which may serve as potent antagonists against TMPRSS2 to impact COVID-19 drug therapy. The coronavirus disease-19 (COVID-19) outbreak that is caused by a highly contagious severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become a zoonotic pandemic, with approximately 24.5 million positive cases and 8.3 lakhs deaths globally. The lack of effective drugs or vaccine provoked the research for drug candidates that can disrupt the spread and progression of the virus. The identification of drug molecules through experimental studies is time-consuming and expensive, so there is a need for developing alternative strategies like in silico approaches which can yield better outcomes in less time. Herein, we selected transmembrane protease serine 2 (TMPRSS2) enzyme, a potential pharmacological target against SARS-CoV-2, involved in the spread and pathogenesis of the virus. Since 3D structure is not available for this protein, the present study aims at homology modelling and validation of TMPRSS2 using Swiss-model server. Validation of the modelled TMPRSS2 using various online tools confirmed model accuracy, topology and stereochemical plausibility. The catalytic triad consisting of Serine-441, Histidine-296 and Aspartic acid-345 was identified as active binding site of TMPRSS2 using existing ligands. Molecular docking studies of various drugs and phytochemicals against the modelled TMPRSS2 were performed using camostat as a standard drug. The results revealed eight potential drug candidates, namely nafamostat, meloxicam, ganodermanontriol, columbin, myricetin, proanthocyanidin A2, jatrorrhizine and baicalein, which were further studied for ADME/T properties. In conclusion, the study unravelled eight high affinity binding compounds, which may serve as potent antagonists against TMPRSS2 to impact COVID-19 drug therapy. • 3D structure of TMPRSS2 was constructed using Homology modeling and was validated. • 50 K Ligand was utilized to reveal the active site of modelled TMPRSS2. • A total of twenty-five natural and marketed compounds were studied. • Nafamostatat, Meloxicam, Ganodermanontriol, Columbin, Myricetin, Proanthocyanidin A2, Jatrorrhizine and Baicalein shown good binding energies. • These potent TMPRSS2 inhibitors can prevent spread of SARS-CoV-2, aid in treatment of COVID-19. The coronavirus disease-19 (COVID-19) outbreak that is caused by a highly contagious severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become a zoonotic pandemic, with approximately 24.5 million positive cases and 8.3 lakhs deaths globally. The lack of effective drugs or vaccine provoked the research for drug candidates that can disrupt the spread and progression of the virus. The identification of drug molecules through experimental studies is time-consuming and expensive, so there is a need for developing alternative strategies like in silico approaches which can yield better outcomes in less time. Herein, we selected transmembrane protease serine 2 (TMPRSS2) enzyme, a potential pharmacological target against SARS-CoV-2, involved in the spread and pathogenesis of the virus. Since 3D structure is not available for this protein, the present study aims at homology modelling and validation of TMPRSS2 using Swiss-model server. Validation of the modelled TMPRSS2 using various online tools confirmed model accuracy, topology and stereochemical plausibility. The catalytic triad consisting of Serine-441, Histidine-296 and Aspartic acid-345 was identified as active binding site of TMPRSS2 using existing ligands. Molecular docking studies of various drugs and phytochemicals against the modelled TMPRSS2 were performed using camostat as a standard drug. The results revealed eight potential drug candidates, namely nafamostat, meloxicam, ganodermanontriol, columbin, myricetin, proanthocyanidin A2, jatrorrhizine and baicalein, which were further studied for ADME/T properties. In conclusion, the study unravelled eight high affinity binding compounds, which may serve as potent antagonists against TMPRSS2 to impact COVID-19 drug therapy. •3D structure of TMPRSS2 was constructed using Homology modeling and was validated.•50 K Ligand was utilized to reveal the active site of modelled TMPRSS2.•A total of twenty-five natural and marketed compounds were studied.•Nafamostatat, Meloxicam, Ganodermanontriol, Columbin, Myricetin, Proanthocyanidin A2, Jatrorrhizine and Baicalein shown good binding energies.•These potent TMPRSS2 inhibitors can prevent spread of SARS-CoV-2, aid in treatment of COVID-19. |
ArticleNumber | 173688 |
Author | Reddy, Gangavaram Jyothi Dodoala, Sujatha M, Pooja Hema, Kanipakam Koganti, Bharathi |
Author_xml | – sequence: 1 givenname: Pooja surname: M fullname: M, Pooja email: poojareddy@spmvv.ac.in organization: Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, 517502, Andhra Pradesh, India – sequence: 2 givenname: Gangavaram Jyothi surname: Reddy fullname: Reddy, Gangavaram Jyothi organization: Department of Pharmacology, SVU College of Pharmaceutical Sciences, Sri Venkateswara University, Tirupati, 517502, Andhra Pradesh, India – sequence: 3 givenname: Kanipakam surname: Hema fullname: Hema, Kanipakam organization: Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India – sequence: 4 givenname: Sujatha surname: Dodoala fullname: Dodoala, Sujatha organization: Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, 517502, Andhra Pradesh, India – sequence: 5 givenname: Bharathi surname: Koganti fullname: Koganti, Bharathi organization: Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, 517502, Andhra Pradesh, India |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33130280$$D View this record in MEDLINE/PubMed |
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Keywords | COVID-19 Drug repurposing TMPRSS2 SARS-CoV-2 Homology modelling Molecular docking |
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SubjectTerms | Antiviral Agents - pharmacology Benzamidines Berberine - analogs & derivatives Berberine - pharmacology Binding Sites COVID-19 COVID-19 Drug Treatment Diterpenes - pharmacology Drug repurposing Flavanones - pharmacology Flavonoids - pharmacology Full Length Guanidines - pharmacology Homology modelling Lactones - pharmacology Lanosterol - analogs & derivatives Lanosterol - pharmacology Meloxicam - pharmacology Models, Molecular Molecular docking Proanthocyanidins - pharmacology Protein Binding SARS-CoV-2 Serine Endopeptidases - metabolism Serine Proteinase Inhibitors - pharmacology TMPRSS2 |
Title | Unravelling high-affinity binding compounds towards transmembrane protease serine 2 enzyme in treating SARS-CoV-2 infection using molecular modelling and docking studies |
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