Image:Q7TLC7.Y14 CVHSA.pdb

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Q7TLC7.Y14_CVHSA.pdb (file size: 19 KB, MIME type: text/plain)

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Proteopedia Page Contributors and Editors (what is this?)

Folagbade Muyiwa Abitogun

(Drugabble genome of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), to find the therapeutic potential by using various in silico approaches. After successful physioch)
Current revision (12:30, 23 August 2020) (edit) (undo)
 
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<StructureSection load='Q7TLC7.Y14_CVHSA.pdb' size='400' side='right' caption='Q7TLC7.Y14_CVHSA MODELLED COVID19 PROTEIN' scene='76/763091/Q7tlc7_y14_cvhsa_in_action/1'>
== Summary ==
== Summary ==
Drugabble genome of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), to find the therapeutic potential by using various in silico approaches. After successful physiochemical, stoichiometric and geometric characterization and screening of druggable candidates, on the basis of set parameters, potential drug target candidates present in the viral strain were selected for further analysis for final selection a drug candidate against the virus. To this aim molecular modeling was carried out to gain insights into active site and modeling was performed via web servers including SWISS-MODEL, GalaxyRefine, ModWeb, Phyre2. Models were optimized using GalaxyRefine and best modeled structures were selected and used for molecular docking studies.
Drugabble genome of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), to find the therapeutic potential by using various in silico approaches. After successful physiochemical, stoichiometric and geometric characterization and screening of druggable candidates, on the basis of set parameters, potential drug target candidates present in the viral strain were selected for further analysis for final selection a drug candidate against the virus. To this aim molecular modeling was carried out to gain insights into active site and modeling was performed via web servers including SWISS-MODEL, GalaxyRefine, ModWeb, Phyre2. Models were optimized using GalaxyRefine and best modeled structures were selected and used for molecular docking studies.
This structure is one of four structures of an ongoing collaborative study.
This structure is one of four structures of an ongoing collaborative study.
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== Function ==
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Unknown
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== Source Database ==
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UniProt
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accession: Q7TLC7
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Gene Name: ORF14
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Amino Acid Length: 70
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== Physiochemical Characteristics ==
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Percentage of polar amino acids : 35.714% Percentage of non-polar amino acids: 64.286%
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Theoretical Iso-electric pH: 5.987
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Molecular Weight: 7.852 kDa
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Hydrophob/Hydrophil_Index: 0.255857
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Total VDW repulsion energy: 6.91855 kcal/mol
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== Homology Modelling ==
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SWISS-MODEL
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GalaxyRefine*
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Phyre2
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* = model used
== Licensing ==
== Licensing ==
{{self|cc-by-3.0}}
{{self|cc-by-3.0}}

Current revision

Q7TLC7.Y14_CVHSA MODELLED COVID19 PROTEIN

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Proteopedia Page Contributors and Editors (what is this?)

Folagbade Muyiwa Abitogun

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(current)12:21, 23 August 2020Folagbade Muyiwa Abitogun (Talk | contribs)19 KBDrugabble genome of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), to find the therapeutic potential by using various in silico approaches. After successful physioch

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