The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

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Latest preprint reviews

  1. Functional and druggability analysis of the SARS-CoV-2 proteome

    1. Claudio N. Cavasotto
    2. Maximiliano Sánchez Lamas
    3. Julián Maggini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. A missense variant effect prediction and annotation resource for SARS-CoV-2

    1. Alistair Dunham
    2. Gwendolyn M Jang
    3. Monita Muralidharan
    4. Danielle Swaney
    5. Pedro Beltrao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The impact of mutations on the structural and functional properties of SARS-CoV-2 proteins: A comprehensive bioinformatics analysis

    1. Aqsa Ikram
    2. Anam Naz
    3. Faryal Mehwish Awan
    4. Bisma Rauff
    5. Ayesha Obaid
    6. Mohamad S. Hakim
    7. Arif Malik

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The relationship between human mobility measures and SAR-Cov-2 transmission varies by epidemic phase and urbanicity: results from the United States

    1. Nishant Kishore
    2. Aimee R. Taylor
    3. Pierre E. Jacob
    4. Navin Vembar
    5. Ted Cohen
    6. Caroline O. Buckee
    7. Nicolas A. Menzies

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Development and validation of IMMUNO-COV™: a high-throughput clinical assay for detecting antibodies that neutralize SARS-CoV-2

    1. Rianna Vandergaast
    2. Timothy Carey
    3. Samantha Reiter
    4. Patrycja Lech
    5. Clement Gnanadurai
    6. Mulu Tesfay
    7. Jason Buehler
    8. Lukkana Suksanpaisan
    9. Shruthi Naik
    10. Bethany Brunton
    11. Jordan Recker
    12. Michelle Haselton
    13. Christopher Ziegler
    14. Anne Roesler
    15. John R. Mills
    16. Elitza Theel
    17. Scott C. Weaver
    18. Grace Rafael
    19. Matthew M. Roforth
    20. Calvin Jerde
    21. Sheryl Tran
    22. Rosa Maria Diaz
    23. Alice Bexon
    24. Alina Baum
    25. Christos A. Kyratsous
    26. Kah Whye Peng
    27. Stephen J. Russell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Phylogenomic analysis of SARS-CoV-2 genomes from western India reveals unique linked mutations

    1. Dhiraj Paul
    2. Kunal Jani
    3. Janesh Kumar
    4. Radha Chauhan
    5. Vasudevan Seshadri
    6. Girdhari Lal
    7. Rajesh Karyakarte
    8. Suvarna Joshi
    9. Murlidhar Tambe
    10. Sourav Sen
    11. Santosh Karade
    12. Kavita Bala Anand
    13. Shelinder Pal Singh Shergill
    14. Rajiv Mohan Gupta
    15. Manoj Kumar Bhat
    16. Arvind Sahu
    17. Yogesh S Shouche

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Computational prediction of the effect of amino acid changes on the binding affinity between SARS-CoV-2 spike RBD and human ACE2

    1. Chen Chen
    2. Veda Sheersh Boorla
    3. Deepro Banerjee
    4. Ratul Chowdhury
    5. Victoria S. Cavener
    6. Ruth H. Nissly
    7. Abhinay Gontu
    8. Nina R. Boyle
    9. Kurt Vandegrift
    10. Meera Surendran Nair
    11. Suresh V. Kuchipudi
    12. Costas D. Maranas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools

    1. Marek Prachar
    2. Sune Justesen
    3. Daniel Bisgaard Steen-Jensen
    4. Stephan Thorgrimsen
    5. Erik Jurgons
    6. Ole Winther
    7. Frederik Otzen Bagger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2

    1. Coronaviridae Study Group of the International Committee on Taxonomy of Viruses
    2. Alexander E. Gorbalenya
    3. Susan C. Baker
    4. Ralph S. Baric
    5. Raoul J. de Groot
    6. Christian Drosten
    7. Anastasia A. Gulyaeva
    8. Bart L. Haagmans
    9. Chris Lauber
    10. Andrey M. Leontovich
    11. Benjamin W. Neuman
    12. Dmitry Penzar
    13. Stanley Perlman
    14. Leo L. M. Poon
    15. Dmitry V. Samborskiy
    16. Igor A. Sidorov
    17. Isabel Sola
    18. John Ziebuhr

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples

    1. Daniele Ramazzotti
    2. Fabrizio Angaroni
    3. Davide Maspero
    4. Carlo Gambacorti-Passerini
    5. Marco Antoniotti
    6. Alex Graudenzi
    7. Rocco Piazza

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
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