Automated Author Profile

Alshamrani, Ibtesam Mohammad

Current S-Index

4.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

<i>Rhizophora mucronata</i> Lam., a halophyte from Mauritius Island, inhibits the entry of Zika virus in human cells (A549)- an <i>in vitro</i> and <i>in silico</i> analysis

The recent appearance of Zika virus (ZIKV) in Brazil should serve as a wake-up call to international authorities, as it poses a threat to global public health. In the present study, we investigated whether a mangrove plant, Rhizophora mucronata Lam. (R. mucronata) collected in Mauritius, possesses anti-ZIKV activity at the non-cytotoxic doses. ZIKVMC-MR766NIID (ZIKVGFP) was used for assessing anti ZIKV activity. In silico docking (Autodock 4) and molecular simulation were performed on collected data. Using a recombinant ZIKV expressing reporter green fluorescent protein(GFP) protein, we discovered that fruit and root methanolic, decocted fruit and root extracts were effective inhibitors of ZIKV infection in human epithelial A549 cells at negligible cytotoxicity. The mechanisms by which such extracts prevented ZIKV infection are linked to the inability of the virus to attach to the host cell surface. The outcomes of this study were supported by the docking calculations in which some of the dominant compounds have shown high binding affinity against ZIKV. The scientific data gathered in this study might pave the way for the future development of possible R. mucronata inhibitors to combat ZIKV.f Communicated by Ramaswamy H. Sarma

Authors

  • Sadeer, Nabeelah Bibi ;
  • Haddad, Juliano G. ;
  • Ezzat, Mohammed Oday ;
  • Desprès, Philippe ;
  • Abdallah, Hassan H. ;
  • Zengin, Gokhan ;
  • Alshamrani, Ibtesam Mohammad ;
  • Barnawi, Jameel ;
  • Khalid, Asaad ;
  • Abdalla, Ashraf N. ;
  • Le Van, Bao ;
  • Kalamouni, Chaker El ;
  • Mahomoodally, Mohamad Fawzi
1 Citation0 Mentions85% FAIR2.2 Dataset Index
10.6084/m9.figshare.21909044January 2023

<i>Rhizophora mucronata</i> Lam., a halophyte from Mauritius Island, inhibits the entry of Zika virus in human cells (A549)- an <i>in vitro</i> and <i>in silico</i> analysis

The recent appearance of Zika virus (ZIKV) in Brazil should serve as a wake-up call to international authorities, as it poses a threat to global public health. In the present study, we investigated whether a mangrove plant, Rhizophora mucronata Lam. (R. mucronata) collected in Mauritius, possesses anti-ZIKV activity at the non-cytotoxic doses. ZIKVMC-MR766NIID (ZIKVGFP) was used for assessing anti ZIKV activity. In silico docking (Autodock 4) and molecular simulation were performed on collected data. Using a recombinant ZIKV expressing reporter green fluorescent protein(GFP) protein, we discovered that fruit and root methanolic, decocted fruit and root extracts were effective inhibitors of ZIKV infection in human epithelial A549 cells at negligible cytotoxicity. The mechanisms by which such extracts prevented ZIKV infection are linked to the inability of the virus to attach to the host cell surface. The outcomes of this study were supported by the docking calculations in which some of the dominant compounds have shown high binding affinity against ZIKV. The scientific data gathered in this study might pave the way for the future development of possible R. mucronata inhibitors to combat ZIKV.f Communicated by Ramaswamy H. Sarma

Authors

  • Sadeer, Nabeelah Bibi ;
  • Haddad, Juliano G. ;
  • Ezzat, Mohammed Oday ;
  • Desprès, Philippe ;
  • Abdallah, Hassan H. ;
  • Zengin, Gokhan ;
  • Alshamrani, Ibtesam Mohammad ;
  • Barnawi, Jameel ;
  • Khalid, Asaad ;
  • Abdalla, Ashraf N. ;
  • Le Van, Bao ;
  • Kalamouni, Chaker El ;
  • Mahomoodally, Mohamad Fawzi
1 Citation0 Mentions85% FAIR2.4 Dataset Index
10.6084/m9.figshare.21909044.v1January 2023