Bioinformatics

  1. The COVID-19 PHARMACOME: A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization

    1. Bruce Schultz
    2. Andrea Zaliani
    3. Christian Ebeling
    4. Jeanette Reinshagen
    5. Denisa Bojkova
    6. Vanessa Lage-Rupprecht
    7. Reagon Karki
    8. Sören Lukassen
    9. Yojana Gadiya
    10. Neal G. Ravindra
    11. Sayoni Das
    12. Shounak Baksi
    13. Daniel Domingo-Fernández
    14. Manuel Lentzen
    15. Mark Strivens
    16. Tamara Raschka
    17. Jindrich Cinatl
    18. Lauren Nicole DeLong
    19. Phil Gribbon
    20. Gerd Geisslinger
    21. Sandra Ciesek
    22. David van Dijk
    23. Steve Gardner
    24. Alpha Tom Kodamullil
    25. Holger Fröhlich
    26. Manuel Peitsch
    27. Marc Jacobs
    28. Julia Hoeng
    29. Roland Eils
    30. Carsten Claussen
    31. Martin Hofmann-Apitius

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

    1. Mariana G. Ferrarini
    2. Avantika Lal
    3. Rita Rebollo
    4. Andreas Gruber
    5. Andrea Guarracino
    6. Itziar Martinez Gonzalez
    7. Taylor Floyd
    8. Daniel Siqueira de Oliveira
    9. Justin Shanklin
    10. Ethan Beausoleil
    11. Taneli Pusa
    12. Brett E. Pickett
    13. Vanessa Aguiar-Pulido

    Reviewed by ScreenIT

    4 evaluationsAppears in 1 listLatest version Latest activity

  3. D614G substitution at the hinge region enhances the stability of trimeric SARS-CoV-2 spike protein

    1. Molecular Biophysics Unit
    2. Indian Institute of Science
    3. Bangalore, Karnataka, 560012, India
    4. Arangasamy Yazhini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature

    1. Abdullatif Köksal
    2. Hilal Dönmez
    3. Rıza Özçelik
    4. Elif Ozkirimli
    5. Arzucan Özgür

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Comprehensive comparison of transcriptomes in SARS-CoV-2 infection: alternative entry routes and innate immune responses

    1. Yingying Cao
    2. Xintian Xu
    3. Simo Kitanovski
    4. Lina Song
    5. Jun Wang
    6. Pei Hao
    7. Daniel Hoffmann

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Leveraging T-cell receptor – epitope recognition models to disentangle unique and cross-reactive T-cell response to SARS-CoV-2 during COVID-19 progression/resolution

    1. Anna Postovskaya
    2. Alexandra Vujkovic
    3. Tessa de Block
    4. Lida van Petersen
    5. Maartje van Frankenhuijsen
    6. Isabel Brosius
    7. Emmanuel Bottieau
    8. Christophe Van Dijck
    9. Caroline Theunissen
    10. Sabrina H. van Ierssel
    11. Erika Vlieghe
    12. Esther Bartholomeus
    13. Wim Adriaensen
    14. Guido Vanham
    15. Benson Ogunjimi
    16. Kris Laukens
    17. Koen Vercauteren
    18. Pieter Meysman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Sequence Analysis for SNP Detection and Phylogenetic Reconstruction of SARS-CoV-2 Isolated from Nigerian COVID-19 Cases

    1. Idowu A. Taiwo
    2. Nike Adeleye
    3. Fatimah O. Anwoju
    4. Adeyemi Adeyinka
    5. Ijeoma C. Uzoma
    6. Taiwo T. Bankole

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes

    1. Yuki Iwasaki
    2. Takashi Abe
    3. Toshimichi Ikemura

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Immuno-informatics approach for multi-epitope vaccine designing against SARS-CoV-2

    1. Souvik Banerjee
    2. Kaustav Majumder
    3. Gerardo Jose Gutierrez
    4. Debkishore Gupta
    5. Bharti Mittal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Batch-Corrected Distance Mitigates Temporal and Spatial Variability for Clustering and Visualization of Single-Cell Gene Expression Data

    1. Shaoheng Liang
    2. Jinzhuang Dou
    3. Ramiz Iqbal
    4. Ken Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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