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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Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes
This article has 4 authors:Reviewed by ScreenIT
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Present and future distribution of bat hosts of sarbecoviruses: implications for conservation and public health
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV2 variant-specific replicating RNA vaccines protect from disease following challenge with heterologous variants of concern
This article has 15 authors:This article has been curated by 1 group: -
Structure of the 5′ untranslated region in SARS-CoV-2 genome and its specific recognition by innate immune system via the human oligoadenylate synthase 1
This article has 5 authors:Reviewed by ScreenIT
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Modeling of ACE2 and antibodies bound to SARS-CoV-2 provides insights into infectivity and immune evasion
This article has 10 authors:Reviewed by ScreenIT
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Quantification of nuclear transport inhibition by SARS-CoV-2 ORF6 using a broadly applicable live-cell dose-response pipeline
This article has 2 authors:Reviewed by ScreenIT
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Cell surface SARS-CoV-2 nucleocapsid protein modulates innate and adaptive immunity
This article has 4 authors:Reviewed by ScreenIT
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A qualitative mathematical model of immunocompetence with applications to SARS-CoV-2 immunity
This article has 1 author:Reviewed by ScreenIT
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The Omicron variant is highly resistant against antibody-mediated neutralization: Implications for control of the COVID-19 pandemic
This article has 15 authors:Reviewed by ScreenIT
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SARS-CoV-2 Spike triggers barrier dysfunction and vascular leak via integrins and TGF-β signaling
This article has 24 authors:Reviewed by ScreenIT