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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Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
This article has 9 authors:Reviewed by ScreenIT
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Recombination and purifying selection preserves covariant movements of mosaic SARS-CoV-2 protein S
This article has 7 authors:Reviewed by ScreenIT
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Lectin-like Intestinal Defensin Inhibits 2019-nCoV Spike binding to ACE2
This article has 17 authors:Reviewed by ScreenIT
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Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 etiologic agent of global pandemic COVID-19: an in silico approach
This article has 11 authors: -
Biophysical characterization of the SARS-CoV-2 spike protein binding with the ACE2 receptor and implications for infectivity
This article has 2 authors:Reviewed by ScreenIT
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Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT
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Azithromycin and ciprofloxacin have a chloroquine-like effect on respiratory epithelial cells
This article has 4 authors:Reviewed by ScreenIT
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Sequence variation among SARS-CoV-2 isolates in Taiwan
This article has 16 authors:Reviewed by ScreenIT
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Combined Prophylactic and Therapeutic Use Maximizes Hydroxychloroquine Anti-SARS-CoV-2 Effects in vitro
This article has 9 authors:Reviewed by ScreenIT
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Cigarette Smoke Exposure and Inflammatory Signaling Increase the Expression of the SARS-CoV-2 Receptor ACE2 in the Respiratory Tract
This article has 7 authors:Reviewed by ScreenIT