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.

About Followers

Latest preprint reviews

  1. Identification of common key genes and pathways between Covid-19 and lung cancer by using protein-protein interaction network analysis

    1. Kang Soon Nan
    2. Kalimuthu Karuppanan
    3. Suresh Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Multicenter Evaluation of a Fully Automated High-Throughput SARS-CoV-2 Antigen Immunoassay

    1. Dominik Nörz
    2. Flaminia Olearo
    3. Stojan Perisic
    4. Matthias F. Bauer
    5. Elena Riester
    6. Tanja Schneider
    7. Kathrin Schönfeld
    8. Tina Laengin
    9. Marc Lütgehetmann

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. SARS-CoV-2 variants resist antibody neutralization and broaden host ACE2 usage

    1. Ruoke Wang
    2. Qi Zhang
    3. Jiwan Ge
    4. Wenlin Ren
    5. Rui Zhang
    6. Jun Lan
    7. Bin Ju
    8. Bin Su
    9. Fengting Yu
    10. Peng Chen
    11. Huiyu Liao
    12. Yingmei Feng
    13. Xuemei Li
    14. Xuanling Shi
    15. Zheng Zhang
    16. Fujie Zhang
    17. Qiang Ding
    18. Tong Zhang
    19. Xinquan Wang
    20. Linqi Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SARS-CoV-2 evolution in animals suggests mechanisms for rapid variant selection

    1. Laura Bashor
    2. Roderick B. Gagne
    3. Angela M. Bosco-Lauth
    4. Richard A. Bowen
    5. Mark Stenglein
    6. Sue VandeWoude

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Determining the risk of developing symptomatic covid-19 infection after attending hospital for radiological examinations: controlled cohort study

    1. Nikos Evangelou
    2. Sian Vaughan
    3. Aimee Hibbert
    4. Paul S Morgan
    5. Matthijs Backx
    6. Louise Berry
    7. Tim Card
    8. Emma Tallantyre

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Implications of central carbon metabolism in SARS-CoV-2 replication and disease severity

    1. Shuba Krishnan
    2. Hampus Nordqvist
    3. Anoop T. Ambikan
    4. Soham Gupta
    5. Maike Sperk
    6. Sara Svensson-Akusjärvi
    7. Flora Mikaeloff
    8. Rui Benfeitas
    9. Elisa Saccon
    10. Sivasankaran Munusamy Ponnan
    11. Jimmy Esneider Rodriguez
    12. Negin Nikouyan
    13. Amani Odeh
    14. Gustaf Ahlén
    15. Muhammad Asghar
    16. Matti Sällberg
    17. Jan Vesterbacka
    18. Piotr Nowak
    19. Ákos Végvári
    20. Anders Sönnerborg
    21. Carl Johan Treutiger
    22. Ujjwal Neogi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Quality control of low-frequency variants in SARS-CoV-2 genomes

    1. Mikhail Rayko
    2. Aleksey Komissarov

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Inhibition of SARS-CoV-2 infection in human cardiomyocytes by targeting the Sigma-1 receptor disrupts cytoskeleton architecture and contractility

    1. José Alexandre Salerno
    2. Thayana Torquato
    3. Jairo R. Temerozo
    4. Livia Goto-Silva
    5. Mayara Mendes
    6. Carolina Q. Sacramento
    7. Natalia Fintelman-Rodrigues
    8. Gabriela Vitoria
    9. Leticia Souza
    10. Isis Ornelas
    11. Carla Veríssimo
    12. Karina Karmirian
    13. Carolina Pedrosa
    14. Suelen da Silva Gomes Dias
    15. Vinicius Cardoso Soares
    16. Luiz Guilherme HS Aragão
    17. Teresa Puig-Pijuan
    18. Vinícius W. Salazar
    19. Rafael Dariolli
    20. Diogo Biagi
    21. Daniel Rodrigues Furtado
    22. Helena L. Borges
    23. Patrícia Bozza
    24. Marília Zaluar Guimarães
    25. Thiago Moreno L. Souza
    26. Stevens K. Rehen

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  9. Modeling COVID-19 Nonpharmaceutical Interventions: Exploring periodic NPI strategies

    1. Raffaele Vardavas
    2. Pedro Nascimento de Lima
    3. Lawrence Baker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Computer simulations of the interaction between SARS-CoV-2 spike glycoprotein and different surfaces

    1. David C. Malaspina
    2. Jordi Faraudo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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