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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A self-amplifying mRNA COVID-19 vaccine drives potent and broad immune responses at low doses that protects non-human primates against SARS-CoV-2
This article has 15 authors:Reviewed by ScreenIT
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Multi-label topic classification for COVID-19 literature annotation using an ensemble model based on PubMedBERT
This article has 2 authors:Reviewed by ScreenIT
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Phylogenetic analysis and in silico studies link spike Q675H mutation to SARS-CoV-2 adaptive evolution
This article has 9 authors:Reviewed by ScreenIT
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Structural and functional characterization of NEMO cleavage by SARS-CoV-2 3CLpro
This article has 18 authors:Reviewed by ScreenIT
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A high-throughput, automated, cell-free expression and screening platform for antibody discovery
This article has 6 authors:Reviewed by ScreenIT
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Whole-Genome Sequencing of Vero E6 (VERO C1008) and Comparative Analysis of Four Vero Cell Sublines
This article has 8 authors:Reviewed by ScreenIT
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Uptake of COVID-19 Vaccination Among Frontline Workers in California State Prisons
This article has 8 authors:Reviewed by ScreenIT
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Humoral immune response after COVID-19 infection or BNT162b2 vaccine among older adults: evolution over time and protective thresholds
This article has 13 authors:Reviewed by ScreenIT
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Brilacidin, a COVID‐19 drug candidate, demonstrates broad‐spectrum antiviral activity against human coronaviruses OC43, 229E, and NL63 through targeting both the virus and the host cell
This article has 4 authors:Reviewed by ScreenIT
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Novel pectin from crude polysaccharide of Syzygium aromaticum against SARS-CoV-2 activities by targeting 3CLpro
This article has 14 authors:Reviewed by ScreenIT