Other e-Bio articles on COVID-19

  1. Simple Theoretical Criterion for Selection of Natural Compounds with Anti-COVID-19 Activity
    Veljkovic V, Glisic S, Perovic V, Veljkovic M, Paessler S.
    Frontiers in Bioscience 2022; 27(5):152.
    DOI:10.31083/j.fbl2705152
  2. De Novo Designed Peptide to Prevent SARS-CoV-2 Interaction with ACE2 Receptor on Host Cells
    Cosic I, Kuhar U, Krapez U, Slavec B, Cosic D, Loncarevic I.
    International Journal of Sciences 2022;2:1-8 DOI: 10.18483/ijSci.2558
    DOI:10.18483/ijSci.2558
  3. Drug repurposing for candidate SARS-CoV-2 main protease inhibitors by novel in silico method
    Sencanski M, Perovic V, Pajovic S, Adjic M, Paessler S, Glisic S,
    Molecules 2020 Aug 23;25:3830
    https://doi.org/10.3390/molecules25173830
  4. Prediction of the effectiveness of COVID-19 vaccine candidates
    Veljkovic V, Perovic V, Paessler S.
    F1000Research 2020, 9:365.
    https://doi.org/10.12688/f1000research.23865.1
  5. COVID-19 Orf3b protein: the putative biological function and the therapeutic target
    Veljkovic V, Paessler S.
    Res Square 2020;
    https://doi.org/10.21203/rs.2.24483/v1
  6. Biological rationale for the repurpesing of BCG vaccine against SARS-CoV-2
    Glisic S, Perovic V, Sencanski M, Paessler S, Veljkovic V.
    J Proteome Res 2020;19;4649.
    https://doi.org/10.1021/acs.jproteome.0c00410
  7. Evolution of SARS-CoV-2 virus and assessment of the effectiveness of COVID-19 vaccine
    Veljkovic V, Perovic V, Chambers I, Paessler S.
    F1000Research 2021, 10:28.
    https://doi.org/10.12688/f1000research.28215.1
  8. Identification of SARS-CoV-2 Papain-like protease (PLpro) inhibitors using combined computational approach
    Sencanski M, Perovic V, Milicevic J, Todorovic T, Prodanovic R, Veljkovic V, Paessler S, Glisic S.
    ChemRxiv 2021; doi: 10.33774/chemrxiv-2021-39cd6-v2
    https://chemrxiv.org/engage/chemrxiv/article-details/615acf250ad1ff7d4189ae2c
  9. Novel protein mapping method for predicting the protein interactions in COVID-19 disease by deep learning.
    Alakus, T.B., Turkoglu, I. A
    Interdiscip Sci Comput Life Sci 2021;13: 44.
    https://doi.org/10.1007/s12539-020-00405-4
  10. A diagnostic genomic signal processing (GSP)-based system for automatic feature analysis and detection of COVID-19
    Naeem SM, Mabrouk MS, Marzouk SY, Eldosoky MA.
    Brief Bioinform. 2020; 22:1197.
    https://doi.org/10.1093/bib/bbaa170
  11. RRM Prediction of Erythrocyte Band3 Protein as Alternative Receptor for SARS-CoV-2 Virus.
    Cosic, I.; Cosic, D.; Loncarevic, I.
    Appl. Sci. 2020;10:4053.
    https://doi.org/10.3390/app10114053
  12. Singh OP, Vallejo M, El-Badawy IM, Aysha A, Madhanagopal J, Ahmad Athif Mohd Faudzi AAM.
    Comput Biol Med. 2021 Sep; 136: 104650
    https://doi.org/10.1016/j.compbiomed.2021.104650
  13. Possibility to interfere with coronavirus RNA replication analyzed by esonant recognition model.
    Cocic I, Cosic D, Loncarevic I.
    Int J Sci 2021;10:22.
    https://doi.org/10.18483/ijSci.2482
  14. Analysis of UK and South African strains of SARS-CoV-2 using resonant recognition model.
    Cosic I, Cosic D, Loncarevic I.
    Int J Sci 2021;10:19.
    https://doi.org/10.18483/ijsci.2459
  15. Analysis of Delta (Indian) variant of SARS-CoV-2 infectivity using resonant recognition model.
    Cosic I, Cosic D, loncarevic I.
    Int J Sci 2021;10:6.
    https://doi.org/10.18483/ijSci.2495
  16. Analysis of ivermectin as potential inhibitor of SARS-CoV-2 using resonant recognition model
    Cosic I, Cosic D, Loncarevic I.
    Int J Sci 2021;10:1.
    https://doi.org/ 10.18483/ijSci.2433
  17. New concept of small molecules interaction with proteins – An application to potential COVID-19 drugs.
    Cosic I, Cosic D, Loncarevic I.
    Int J Sci 2021;9:16.
    https://doi.org/ 10.18483/ijSci.2390
  18. Identification of SARS-CoV-2 Papain-like protease (PLpro) inhibitors using combined computational approach.
    Sencanski M, Perovic V, Milicevic J, Todorovic T, Prodanovic R, Veljkovic V, Paessler S, Glisic S.
    ChemistryOpen. 2022 (in press).
    https://doi.org/ 10.1002/open.202100248.