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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Brain injury in COVID-19 is associated with dysregulated innate and adaptive immune responses
This article has 259 authors:Reviewed by ScreenIT
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Broad Neutralization of SARS-CoV-2 Variants, Including Omicron, following Breakthrough Infection with Delta in COVID-19-Vaccinated Individuals
This article has 12 authors:Reviewed by ScreenIT
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Spike-specific T cells are enriched in breastmilk following SARS-CoV-2 mRNA vaccination
This article has 18 authors:Reviewed by ScreenIT
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Persistent Symptoms among Frontline Health Workers Post-Acute COVID-19 Infection
This article has 10 authors:Reviewed by ScreenIT
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Long‐term humoral immunity decline in hemodialysis patients following severe acute respiratory syndrome coronavirus 2 vaccination: A cohort study
This article has 5 authors:Reviewed by ScreenIT
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A public antibody class recognizes an S2 epitope exposed on open conformations of SARS-CoV-2 spike
This article has 33 authors:Reviewed by ScreenIT
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PEPPI: Whole-proteome Protein-protein Interaction Prediction through Structure and Sequence Similarity, Functional Association, and Machine Learning
This article has 4 authors:Reviewed by ScreenIT
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Delta Variant with P681R Critical Mutation Revealed by Ultra-Large Atomic-Scale Ab Initio Simulation: Implications for the Fundamentals of Biomolecular Interactions
This article has 5 authors:Reviewed by ScreenIT
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Post-Translational Modifications Optimize the Ability of SARS-CoV-2 Spike for Effective Interaction with Host Cell Receptors
This article has 3 authors:Reviewed by ScreenIT
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Estimating area-level variation in SARS-CoV-2 infection fatality ratios
This article has 15 authors:Reviewed by ScreenIT