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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Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus)
This article has 10 authors:Reviewed by ScreenIT
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Human angiotensin-converting enzyme 2 transgenic mice infected with SARS-CoV-2 develop severe and fatal respiratory disease
This article has 17 authors:Reviewed by ScreenIT
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A single-dose live-attenuated YF17D-vectored SARS-CoV2 vaccine candidate
This article has 33 authors:Reviewed by ScreenIT
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Continuous flexibility analysis of SARS-CoV-2 spike prefusion structures
This article has 18 authors:Reviewed by ScreenIT
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On the Application of Advanced Machine Learning Methods to Analyze Enhanced, Multimodal Data from Persons Infected with COVID-19
This article has 3 authors:Reviewed by ScreenIT
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In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs
This article has 15 authors:Reviewed by ScreenIT
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Extracellular vesicles containing ACE2 efficiently prevent infection by SARS‐CoV‐2 Spike protein‐containing virus
This article has 10 authors:Reviewed by ScreenIT
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Neutralizing Antibody Responses in COVID-19 Convalescent Sera
This article has 19 authors:Reviewed by ScreenIT
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A Strategy to Treat COVID‐19 Disease With Targeted Delivery of Inhalable Liposomal Hydroxychloroquine: A Preclinical Pharmacokinetic Study
This article has 8 authors:Reviewed by ScreenIT
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Clinical utility of targeted SARS-CoV-2 serology testing to aid the diagnosis and management of suspected missed, late or post-COVID-19 infection syndromes: Results from a pilot service implemented during the first pandemic wave
This article has 22 authors:Reviewed by ScreenIT