scholarly journals SARS-CoV2 S Protein Features Potential Estrogen Binding Site

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Ante Tomasović ◽  
Damir Stanzer ◽  
Ivan Krešimir Svetec ◽  
Marina Svetec Miklenić

Research background: During the current SARS-CoV2 pandemic, as well as earlier SARS and MERS epidemics, it has been observed that COVID19-positive women on average tend to have milder symptoms and lower fatality rates than men. There is a number of differences between sexes known to contribute to different immune responses and severity of disease, one being the effect of estrogen via estrogen receptor signaling. We wondered if estrogen might also affect the SARS-CoV2 more directly, perhaps by binding to the surface glycoprotein (S protein) thus possibly reducing its infectivity. Experimental approach: To assess whether there is a possibility for estrogen binding on the SARS-CoV2 S protein we used BLAST and HHpred to compare protein sequences of S protein and human estrogen receptor β, while 3D structures of potential estrogen binding site and active site of estrogen receptor β were visualized and compared using PyMOL. Results and conclusions: By comparing protein sequence of SARS-CoV2 S protein with the human estrogen receptor β, we identified a potential estrogen binding site on S protein and further determined that it also shares notable similarities with the active site of ER β when observed in 3D structure of their respective proteins. As a control, SARS-CoV2 S protein was compared with the human androgen receptor, and no such similarities were found. The potential estrogen binding site is a part of coronavirus S2 superfamily domain, which is involved in host-virus membrane fusion during infection and appears to be conserved throughout the Coronaviridae family. Novelty and scientific contribution: This preliminary communication shows that SARS-CoV2 S protein features a potential estrogen binding site. Hopefully, this will prompt a more comprehensive study on the possibilities of estrogen binding on the S protein and the effect this might confer on the virus infectivity.

Author(s):  
Hriday K. Basak ◽  
Soumen Saha ◽  
Joydeep Ghosh ◽  
Uttam Paswan ◽  
Sujoy Karmakar ◽  
...  

Background: Treatment of the Covid-19 pandemic caused by the highly contagious and pathogenic SARS-CoV-2 is a global menace. Day by day this pandemic is getting worse. Doctors, Scientists and Researchers across the world are urgently scrambling for a cure for novel corona virus and continuously working at break neck speed to develop vaccine or drugs. But to date, there are no specific drugs or vaccine available in the market to cope up the virus. Objective: The present study helps us to elucidate 3D structures of SARS-CoV-2 proteins and also to identify best natural compounds as potential inhibitors against COVID-19. Methods: The 3D structures of the proteins were constructed using Modeller 9.16 modeling tool. Modelled proteins were validated with PROCHECK by Ramachandran plot analysis. In this study a small library of natural compounds (fifty compounds) was docked to the ACE2 binding site of the modelled surface glycoprotein of SARS-CoV-2 using Auto Dock Vina to repurpose these inhibitors for SARS-CoV-2. Conceptual density functional theory calculations of best eight compounds had been performed by Gaussian-09. Geometry optimizations for these molecules were done at M06-2X/ def2-TZVP level of theory. ADME parameters, pharmacokinetic properties and drug likeliness of the compounds were analyzed in the swissADME website. Results: In this study we analysed the sequences of surface glycoprotein, nucleocapsid phosphoprotein and envelope protein obtained from different parts of the globe. We have modelled all the different sequences of surface glycoprotein and envelop protein in order to derive 3D structure of a molecular target which is essential for the development of therapeutics. Different electronic properties of the inhibitors have been calculated using DFT through M06-2X functional with def2-TZVP basis set. Docking result at the hACE2 binding site of all modelled surface glycoproteins of SARS-CoV-2 showed that all the eight inhibitors (Actinomycin D, avellanin C, ichangin, kanglemycin A, obacunone, ursolic acid, ansamiotocin P-3 and isomitomycin A) studied here many folds better compared to hydroxychloroquine which has been found to be effective to treat patients suffering fromCOVID-19 pandemic. All the inhibitors meet most of criteria of drug likeness assessment. Conclusion: We will expect that eight compounds (Actinomycin D, avellanin C, ichangin, kanglemycin A, obacunone, ursolic acid, ansamiotocin P-3 and isomitomycin A) can be used as potential inhibitors against SARS-CoV-2.


1996 ◽  
Vol 271 (33) ◽  
pp. 20053-20059 ◽  
Author(s):  
Kirk Ekena ◽  
Karen E. Weis ◽  
John A. Katzenellenbogen ◽  
Benita S. Katzenellenbogen

1997 ◽  
Vol 272 (41) ◽  
pp. 25832-25838 ◽  
Author(s):  
Paul Pace ◽  
Jacqueline Taylor ◽  
Sumathy Suntharalingam ◽  
R. Charles Coombes ◽  
Simak Ali

2000 ◽  
Vol 275 (2) ◽  
pp. 682-689 ◽  
Author(s):  
Long-Cheng Li ◽  
Che-Chung Yeh ◽  
Dana Nojima ◽  
Rajvir Dahiya

Endocrinology ◽  
2003 ◽  
Vol 144 (8) ◽  
pp. 3541-3546 ◽  
Author(s):  
Li Xu ◽  
Qiang Pan-Hammarström ◽  
Asta Försti ◽  
Kari Hemminki ◽  
Lennart Hammarström ◽  
...  

Abstract Several isoforms of estrogen receptor (ER) β (also known as NR3A2) have been reported, including variants with different N-terminal ends. In rodents, two in-frame initiation codons (ATGs) are used to produce proteins of 530 and 549 amino acids, respectively. In humans, the upstream ATG is out of frame in all clones reported, until recently, when human clones with an extra A-T base pair placing the upstream ATG in frame were reported. The authors suggested that this could represent a novel polymorphism in the ERβ gene. Because human ERβ548 (hERβ548) and hERβ530 display different functional characteristics in vitro, it is of interest to determine if this variant constitutes a polymorphism in human populations. We therefore determined the frequency of this novel isoform in several populations including African (n = 96), Caucasian (n = 100), and Asian (n = 128) subjects using denaturing HPLC. We did not detect any alleles that correspond to hERβ548 in these samples or in additional samples of heterogeneous origin. It is concluded that hERβ548 is not a common variant in Africans, Caucasians, or Asians.


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