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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Clinically observed deletions in SARS‐CoV‐2 Nsp1 affect its stability and ability to inhibit translation
This article has 7 authors:Reviewed by ScreenIT
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Protein Arginylation Is Regulated during SARS-CoV-2 Infection
This article has 15 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Drug targeting Nsp1-ribosomal complex shows antiviral activity against SARS-CoV-2
This article has 9 authors:This article has been curated by 1 group: -
Glycan Masking of Epitopes in the NTD and RBD of the Spike Protein Elicits Broadly Neutralizing Antibodies Against SARS-CoV-2 Variants
This article has 5 authors:Reviewed by ScreenIT
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Effectiveness evaluation of digital contact tracing for COVID-19 in New South Wales, Australia
This article has 5 authors:Reviewed by ScreenIT
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Viral E protein neutralizes BET protein-mediated post-entry antagonism of SARS-CoV-2
This article has 22 authors:Reviewed by ScreenIT
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The oral protease inhibitor (PF-07321332) protects Syrian hamsters against infection with SARS-CoV-2 variants of concern
This article has 17 authors:Reviewed by ScreenIT
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Serum from COVID-19 patients early in the pandemic shows limited evidence of cross-neutralization against variants of concern
This article has 8 authors:Reviewed by ScreenIT
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Stable Cell Clones Harboring Self-Replicating SARS-CoV-2 RNAs for Drug Screen
This article has 5 authors:Reviewed by ScreenIT
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Monitoring of SARS-CoV-2 antibodies using dried blood spot for at-home collection
This article has 3 authors:Reviewed by ScreenIT