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. Comparison of SARS-CoV-2 infections among 3 species of non-human primates

    1. Shuaiyao Lu
    2. Yuan Zhao
    3. Wenhai Yu
    4. Yun Yang
    5. Jiahong Gao
    6. Junbin Wang
    7. Dexuan Kuang
    8. Mengli Yang
    9. Jing Yang
    10. Chunxia Ma
    11. Jingwen Xu
    12. Xingli Qian
    13. Haiyan Li
    14. Siwen Zhao
    15. Jingmei Li
    16. Haixuan Wang
    17. Haiting Long
    18. Jingxian Zhou
    19. Fangyu Luo
    20. Kaiyun Ding
    21. Daoju Wu
    22. Yong Zhang
    23. Yinliang Dong
    24. Yuqin Liu
    25. Yingqiu Zheng
    26. Xiaochen Lin
    27. Li Jiao
    28. Huanying Zheng
    29. Qing Dai
    30. Qiangmin Sun
    31. Yunzhang Hu
    32. Changwen Ke
    33. Hongqi Liu
    34. Xiaozhong Peng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The SARS-CoV-2 receptor-binding domain elicits a potent neutralizing response without antibody-dependent enhancement

    1. Brian D. Quinlan
    2. Huihui Mou
    3. Lizhou Zhang
    4. Yan Guo
    5. Wenhui He
    6. Amrita Ojha
    7. Mark S. Parcells
    8. Guangxiang Luo
    9. Wenhui Li
    10. Guocai Zhong
    11. Hyeryun Choe
    12. Michael Farzan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Structural interactions between pandemic SARS-CoV-2 spike glycoprotein and human Furin protease

    1. Naveen Vankadari

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Scutellaria baicalensis extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease in vitro

    1. Hongbo Liu
    2. Fei Ye
    3. Qi Sun
    4. Hao Liang
    5. Chunmei Li
    6. Roujian Lu
    7. Baoying Huang
    8. Wenjie Tan
    9. Luhua Lai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. BIP4COVID19: Releasing impact measures for articles relevant to COVID-19

    1. Thanasis Vergoulis
    2. Ilias Kanellos
    3. Serafeim Chatzopoulos
    4. Danae Pla Karidi
    5. Theodore Dalamagas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Mechanistic modeling of the SARS-CoV-2 disease map

    1. Kinza Rian
    2. Marina Esteban-Medina
    3. Marta R. Hidalgo
    4. Cankut Çubuk
    5. Matias M. Falco
    6. Carlos Loucera
    7. Devrim Gunyel
    8. Marek Ostaszewski
    9. María Peña-Chilet
    10. Joaquín Dopazo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Isolation, sequence, infectivity and replication kinetics of SARS-CoV-2

    1. Arinjay Banerjee
    2. Jalees A. Nasir
    3. Patrick Budylowski
    4. Lily Yip
    5. Patryk Aftanas
    6. Natasha Christie
    7. Ayoob Ghalami
    8. Kaushal Baid
    9. Amogelang R. Raphenya
    10. Jeremy A. Hirota
    11. Matthew S. Miller
    12. Allison J. McGeer
    13. Mario Ostrowski
    14. Robert A. Kozak
    15. Andrew G. McArthur
    16. Karen Mossman
    17. Samira Mubareka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Insights on early mutational events in SARS-CoV-2 virus reveal founder effects across geographical regions

    1. Carlos Farkas
    2. Francisco Fuentes-Villalobos
    3. José Luis Garrido
    4. Jody J Haigh
    5. María Inés Barría

    Reviewed by ScreenIT, PeerJ

    4 evaluationsAppears in 2 listsLatest version Latest activity

  9. A Computational Approach to Design Potential siRNA Molecules as a Prospective Tool for Silencing Nucleocapsid Phosphoprotein and Surface Glycoprotein Gene of SARS-CoV-2

    1. Umar Faruq Chowdhury
    2. Mohammad Umer Sharif Shohan
    3. Kazi Injamamul Hoque
    4. Mirza Ashikul Beg
    5. Mohammad Kawsar Sharif Siam
    6. Mohammad Ali Moni

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Blueprint for a Pop-up SARS-CoV-2 Testing Lab

    1. Innovative Genomics Institute SARS-CoV-2 Testing Consortium
    2. Dirk Hockemeyer
    3. Fyodor Urnov
    4. Ralph Green
    5. Jennifer A. Doudna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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