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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Assessment of serological assays for identifying high titer convalescent plasma
This article has 12 authors:Reviewed by ScreenIT
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Endothelial cells elicit a pro-inflammatory response to SARS-CoV-2 without productive viral infection
This article has 15 authors:Reviewed by ScreenIT
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Design of SARS-CoV-2 PLpro Inhibitors for COVID-19 Antiviral Therapy Leveraging Binding Cooperativity
This article has 13 authors:Reviewed by ScreenIT
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Age-Related Changes in the Nasopharyngeal Microbiome Are Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection and Symptoms Among Children, Adolescents, and Young Adults
This article has 16 authors:Reviewed by ScreenIT
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Evolution of ACE2 and SARS-CoV-2 Interplay Across 247 Vertebrates
This article has 6 authors:Reviewed by ScreenIT
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Predicting the end of Covid-19 infection for various countries using a stochastic agent-based model taking into account vaccination rates and the new mutant
This article has 1 author:Reviewed by ScreenIT
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Hyperglycemia in acute COVID-19 is characterized by insulin resistance and adipose tissue infectivity by SARS-CoV-2
This article has 28 authors:Reviewed by ScreenIT
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Multiscale interactome analysis coupled with off‑target drug predictions reveals drug repurposing candidates for human coronavirus disease
This article has 23 authors:Reviewed by ScreenIT
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A randomised trial of anti-GM-CSF otilimab in severe COVID-19 pneumonia (OSCAR)
This article has 45 authors:Reviewed by ScreenIT
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SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome
This article has 18 authors:Reviewed by ScreenIT