tetano
Editor, Senior Moderator
Molecules
. 2020 Oct 29;25(21):E5007.
doi: 10.3390/molecules25215007.
Molecular Insights into Human Transmembrane Protease Serine-2 (TMPS2) Inhibitors against SARS-CoV2: Homology Modelling, Molecular Dynamics, and Docking Studies
Safaa M Kishk[SUP] 1 [/SUP], Rania M Kishk[SUP] 2 [/SUP], Asmaa S A Yassen[SUP] 3 [/SUP], Mohamed S Nafie[SUP] 4 [/SUP], Nader A Nemr[SUP] 5 [/SUP], Gamal ElMasry[SUP] 6 7 [/SUP], Salim Al-Rejaie[SUP] 7 [/SUP], Claire Simons[SUP] 8 [/SUP]
Affiliations
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), which caused novel corona virus disease-2019 (COVID-19) pandemic, necessitated a global demand for studies related to genes and enzymes of SARS-CoV2. SARS-CoV2 infection depends on the host cell Angiotensin-Converting Enzyme-2 (ACE2) and Transmembrane Serine Protease-2 (TMPRSS2), where the virus uses ACE2 for entry and TMPRSS2 for S protein priming. The TMPRSS2 gene encodes a Transmembrane Protease Serine-2 protein (TMPS2) that belongs to the serine protease family. There is no crystal structure available for TMPS2, therefore, a homology model was required to establish a putative 3D structure for the enzyme. A homology model was constructed using SWISS-MODEL and evaluations were performed through Ramachandran plots, Verify 3D and Protein Statistical Analysis (ProSA). Molecular dynamics simulations were employed to investigate the stability of the constructed model. Docking of TMPS2 inhibitors, camostat, nafamostat, gabexate, and sivelestat, using Molecular Operating Environment (MOE) software, into the constructed model was performed and the protein-ligand complexes were subjected to MD simulations and computational binding affinity calculations. These in silico studies determined the tertiary structure of TMPS2 amino acid sequence and predicted how ligands bind to the model, which is important for drug development for the prevention and treatment of COVID-19.
Keywords: SARS-CoV2; TMPS2; homology model; molecular dynamics.
. 2020 Oct 29;25(21):E5007.
doi: 10.3390/molecules25215007.
Molecular Insights into Human Transmembrane Protease Serine-2 (TMPS2) Inhibitors against SARS-CoV2: Homology Modelling, Molecular Dynamics, and Docking Studies
Safaa M Kishk[SUP] 1 [/SUP], Rania M Kishk[SUP] 2 [/SUP], Asmaa S A Yassen[SUP] 3 [/SUP], Mohamed S Nafie[SUP] 4 [/SUP], Nader A Nemr[SUP] 5 [/SUP], Gamal ElMasry[SUP] 6 7 [/SUP], Salim Al-Rejaie[SUP] 7 [/SUP], Claire Simons[SUP] 8 [/SUP]
Affiliations
- PMID: 33137894
- DOI: 10.3390/molecules25215007
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), which caused novel corona virus disease-2019 (COVID-19) pandemic, necessitated a global demand for studies related to genes and enzymes of SARS-CoV2. SARS-CoV2 infection depends on the host cell Angiotensin-Converting Enzyme-2 (ACE2) and Transmembrane Serine Protease-2 (TMPRSS2), where the virus uses ACE2 for entry and TMPRSS2 for S protein priming. The TMPRSS2 gene encodes a Transmembrane Protease Serine-2 protein (TMPS2) that belongs to the serine protease family. There is no crystal structure available for TMPS2, therefore, a homology model was required to establish a putative 3D structure for the enzyme. A homology model was constructed using SWISS-MODEL and evaluations were performed through Ramachandran plots, Verify 3D and Protein Statistical Analysis (ProSA). Molecular dynamics simulations were employed to investigate the stability of the constructed model. Docking of TMPS2 inhibitors, camostat, nafamostat, gabexate, and sivelestat, using Molecular Operating Environment (MOE) software, into the constructed model was performed and the protein-ligand complexes were subjected to MD simulations and computational binding affinity calculations. These in silico studies determined the tertiary structure of TMPS2 amino acid sequence and predicted how ligands bind to the model, which is important for drug development for the prevention and treatment of COVID-19.
Keywords: SARS-CoV2; TMPS2; homology model; molecular dynamics.