Bioinformatics

  1. Molecular diversity analysis of the spike glycoprotein (S) gene from Hong Kong - China

    1. Eduarda Doralice Alves Braz Da Silva
    2. Dallynne Bárbara Ramos Venâncio
    3. Rosane Maria de Albuquerque
    4. Robson da Silva Ramos
    5. Pierre Teodósio Felix

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Profiling transcription factor sub-networks in type I interferon signaling and in response to SARS-CoV-2 infection

    1. Chilakamarti V. Ramana

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Temporal patterns in the evolutionary genetic distance of SARS-CoV-2 during the COVID-19 pandemic

    1. Jingzhi Lou
    2. Shi Zhao
    3. Lirong Cao
    4. Zigui Chen
    5. Renee WY Chan
    6. Marc KC Chong
    7. Benny CY Zee
    8. Paul KS Chan
    9. Maggie H Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SARS-CoV2 spike protein displays biologically significant similarities with paramyxovirus surface proteins; a bioinformatics study

    1. Ehsan Ahmadi
    2. Mohammad Reza Zabihi
    3. Ramin Hosseinzadeh
    4. Farshid Noorbakhsh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. A vaccine built from potential immunogenic pieces derived from the SARS-CoV-2 spike glycoprotein

    1. Jose Marchan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVATOR: A Software for Chimeric Coronavirus Identification

    1. Peter T. Habib

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Mutational signatures in countries affected by SARS-CoV-2: Implications in host-pathogen interactome

    1. J. Singh
    2. H. Singh
    3. S E. Hasnain
    4. S.A. Rahman

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  8. Possible transmission flow of SARS-CoV-2 based on ACE2 features

    1. Sk. Sarif Hassan
    2. Shinjini Ghosh
    3. Diksha Attrish
    4. Pabitra Pal Choudhury
    5. Vladimir N. Uversky
    6. Bruce D. Uhal
    7. Kenneth Lundstrom
    8. Nima Rezaei
    9. Alaa A. A. Aljabali
    10. Murat Seyran
    11. Damiano Pizzol
    12. Parise Adadi
    13. Antonio Soares
    14. Tarek Mohamed Abd El-Aziz
    15. Ramesh Kandimalla
    16. Murtaza Tambuwala
    17. Gajendra Kumar Azad
    18. Samendra P. Sherchan
    19. Wagner Baetas-da-Cruz
    20. Kazuo Takayama
    21. Ángel Serrano-Aroca
    22. Gaurav Chauhan
    23. Giorgio Palu
    24. Adam M. Brufsky

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. nanoDoc: RNA modification detection using Nanopore raw reads with Deep One-Class Classification

    1. Hiroki Ueda

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Variability of Accessory Proteins Rules the SARS-CoV-2 Pathogenicity

    1. Sk. Sarif Hassan
    2. Pabitra Pal Choudhury
    3. Vladimir N. Uversky
    4. Guy W. Dayhoff
    5. Alaa A. A. Aljabali
    6. Bruce D. Uhal
    7. Kenneth Lundstrom
    8. Nima Rezaei
    9. Murat Seyran
    10. Damiano Pizzol
    11. Parise Adadi
    12. Amos Lal
    13. Antonio Soares
    14. Tarek Mohamed Abd El-Aziz
    15. Ramesh Kandimalla
    16. Murtaza Tambuwala
    17. Gajendra Kumar Azad
    18. Samendra P. Sherchan
    19. Wagner Baetas-da-Cruz
    20. Kazuo Takayama
    21. Ángel Serrano-Aroca
    22. Gaurav Chauhan
    23. Giorgio Palu
    24. Adam M. Brufsky

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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