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. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. In Silico Screening of Natural Compounds for Candidates 5HT6 Receptor Antagonists against Alzheimer’s Disease
    Bojic T, Sencanski M, Perovic V, Milicevic J, Glisic S.
    Molecules 2022;27(9):2626
    https://doi.org/10.3390/molecules27092626
  18. Prediction of viral-host interactions of COVID-19 by computational methods
    Alakus TB, Turkoglu I.
    Chemometrics and Intelligent Laboratory Systems 2022;104622
    https://doi.org/10.1016/j.chemolab.2022.104622
  19. 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-Landmark. 2022;27(5):152
    https://doi.org/10.31083/j.fbl2705152
  20. 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;11(2):e202100248.
    https://doi.org/10.1002/open.202100248
  21. Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease
    Pathak V, Nanda SJ, Joshi AM, Sahu SS.
    Biomedical Signal Processing and Control. 2022;78:103909.
    https://doi.org/10.1016/j.bspc.2022.103909
  22. Different genomic representations of novel pathogens base on signal processing algorithms: COVID-19 case study
    Touati R, Touati M, Benzarti F, Kumar V, Kharrat M, Elngar AA.
    Signal, Image and Video Processing 2022 (Preprint in review)
    https://doi.org/10.21203/rs.3.rs-1743456/v1