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.
Latest preprint reviews
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Identification of a conserved S2 epitope present on spike proteins from all highly pathogenic coronaviruses
This article has 26 authors:This article has been curated by 1 group: -
Discovery of human ACE2 variants with altered recognition by the SARS-CoV-2 spike protein
This article has 2 authors:Reviewed by ScreenIT
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Probing the SAM Binding Site of SARS-CoV-2 Nsp14 In Vitro Using SAM Competitive Inhibitors Guides Developing Selective Bisubstrate Inhibitors
This article has 20 authors:Reviewed by ScreenIT
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Killed whole-genome reduced-bacteria surface-expressed coronavirus fusion peptide vaccines protect against disease in a porcine model
This article has 14 authors:Reviewed by ScreenIT
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Randomized trials - Ivermectin repurposing for COVID-19 treatment of outpatients with mild disease in primary health care centers
This article has 9 authors:Reviewed by ScreenIT
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Reanalysis of the Pfizer mRNA BNT162b2 SARS-CoV-2 vaccine data fails to find any increased efficacy following the boost: Implications for vaccination policy and our understanding of the mode of action
This article has 6 authors:Reviewed by ScreenIT
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Severity of SARS-CoV-2 infection as a function of the interferon landscape across the respiratory tract of COVID-19 patients
This article has 23 authors:Reviewed by ScreenIT
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Secondary attack rates of COVID-19 in Norwegian families: a nation-wide register-based study
This article has 5 authors:Reviewed by ScreenIT
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GUIdEStaR (G-quadruplex, uORF, IRES, Epigenetics, Small RNA, Repeats), the integrated metadatabase in conjunction with neural network methods
This article has 1 author:Reviewed by ScreenIT
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Low Dose Regimens of BNT162b2 mRNA Vaccine Exceed SARS-Cov-2 Correlate of Protection Estimates for Symptomatic Infection, in those 19-55 Years of Age
This article has 1 author:Reviewed by ScreenIT