ScreenIT
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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Pathogen reduction of SARS-CoV-2 virus in plasma and whole blood using riboflavin and UV light
This article has 5 authors:Reviewed by ScreenIT
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The UCSC SARS-CoV-2 Genome Browser
This article has 20 authors:Reviewed by ScreenIT
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Missense variants in ACE2 are predicted to encourage and inhibit interaction with SARS-CoV-2 Spike and contribute to genetic risk in COVID-19
This article has 2 authors:Reviewed by ScreenIT
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Temporal signal and the phylodynamic threshold of SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Computational analysis on the ACE2-derived peptides for neutralizing the ACE2 binding to the spike protein of SARS-CoV-2
This article has 5 authors:Reviewed by ScreenIT
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Computational methods to develop potential neutralizing antibody Fab region against SARS-CoV-2 as therapeutic and diagnostic tool
This article has 2 authors:Reviewed by ScreenIT
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Characterizations of SARS-CoV-2 mutational profile, spike protein stability and viral transmission
This article has 6 authors:Reviewed by ScreenIT
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Catalytic cleavage of HEAT and subsequent covalent binding of the tetralone moiety by the SARS-CoV-2 main protease
This article has 84 authors:Reviewed by ScreenIT
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Feline coronavirus drug inhibits the main protease of SARS-CoV-2 and blocks virus replication
This article has 14 authors:Reviewed by ScreenIT
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Commercial stocks of SARS-CoV-2 RNA may report low concentration values, leading to artificially increased apparent sensitivity of diagnostic assays
This article has 2 authors:Reviewed by ScreenIT