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1.
Eur J Pharmacol ; 901: 174082, 2021 Jun 15.
Article in English | MEDLINE | ID: covidwho-1252814

ABSTRACT

The pandemic, COVID-19, has spread worldwide and affected millions of people. There is an urgent need, therefore, to find a proper treatment for the novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), the causative agent. This paper focuses on identifying inhibitors that target SARS-CoV-2 proteases, PLPRO and 3CLPRO, which control the duplication and manages the life cycle of SARS-CoV-2. We have carried out detailed in silico Virtual high-throughput screening using Food and Drug Administration (FDA) approved drugs from the Zinc database, COVID-19 clinical trial compounds from Pubchem database, Natural compounds from Natural Product Activity and Species Source (NPASS) database and Maybridge database against PLPRO and 3CLPRO proteases. After thoroughly analyzing the screening results, we found five compounds, Bemcentinib, Pacritinib, Ergotamine, MFCD00832476, and MFCD02180753 inhibit PLPRO and six compounds, Bemcentinib, Clofazimine, Abivertinib, Dasabuvir, MFCD00832476, Leuconicine F inhibit the 3CLPRO. These compounds are stable within the protease proteins' active sites at 20ns MD simulation. The stability is revealed by hydrogen bond formations, hydrophobic interactions, and salt bridge interactions. Our study results also reveal that the selected five compounds against PLPRO and the six compounds against 3CLPRO bind to their active sites with good binding free energy. These compounds that inhibit the activity of PLPRO and 3CLPRO may, therefore, be used for treating COVID-19 infection.


Subject(s)
Antiviral Agents/pharmacology , COVID-19 Drug Treatment , High-Throughput Screening Assays/methods , Protease Inhibitors/pharmacology , SARS-CoV-2/drug effects , SARS-CoV-2/enzymology , Antiviral Agents/chemistry , Catalytic Domain/drug effects , Databases, Factual , Drug Repositioning , Humans , Hydrogen Bonding , Hydrophobic and Hydrophilic Interactions , Models, Molecular , Molecular Docking Simulation , Molecular Dynamics Simulation , Protease Inhibitors/chemistry , Salts/chemistry , Viral Nonstructural Proteins
2.
Nature ; 581(7807): 215-220, 2020 05.
Article in English | MEDLINE | ID: covidwho-19579

ABSTRACT

A new and highly pathogenic coronavirus (severe acute respiratory syndrome coronavirus-2, SARS-CoV-2) caused an outbreak in Wuhan city, Hubei province, China, starting from December 2019 that quickly spread nationwide and to other countries around the world1-3. Here, to better understand the initial step of infection at an atomic level, we determined the crystal structure of the receptor-binding domain (RBD) of the spike protein of SARS-CoV-2 bound to the cell receptor ACE2. The overall ACE2-binding mode of the SARS-CoV-2 RBD is nearly identical to that of the SARS-CoV RBD, which also uses ACE2 as the cell receptor4. Structural analysis identified residues in the SARS-CoV-2 RBD that are essential for ACE2 binding, the majority of which either are highly conserved or share similar side chain properties with those in the SARS-CoV RBD. Such similarity in structure and sequence strongly indicate convergent evolution between the SARS-CoV-2 and SARS-CoV RBDs for improved binding to ACE2, although SARS-CoV-2 does not cluster within SARS and SARS-related coronaviruses1-3,5. The epitopes of two SARS-CoV antibodies that target the RBD are also analysed for binding to the SARS-CoV-2 RBD, providing insights into the future identification of cross-reactive antibodies.


Subject(s)
Betacoronavirus/chemistry , Peptidyl-Dipeptidase A/chemistry , Peptidyl-Dipeptidase A/metabolism , Receptors, Virus/chemistry , Receptors, Virus/metabolism , Spike Glycoprotein, Coronavirus/chemistry , Spike Glycoprotein, Coronavirus/metabolism , Amino Acid Sequence , Angiotensin-Converting Enzyme 2 , Antibodies, Neutralizing/immunology , Betacoronavirus/metabolism , Binding Sites , Conserved Sequence , Crystallography, X-Ray , Epitopes/chemistry , Epitopes/immunology , Evolution, Molecular , Humans , Hydrogen Bonding , Models, Molecular , Protein Binding , Protein Domains , Severe acute respiratory syndrome-related coronavirus/chemistry , SARS-CoV-2 , Salts/chemistry , Sequence Alignment , Water/analysis , Water/chemistry
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