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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Discovery of potent inhibitors of PL pro CoV2 by screening a library of selenium-containing compounds
This article has 5 authors:Reviewed by ScreenIT
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Type I and Type III IFN Restrict SARS-CoV-2 Infection of Human Airway Epithelial Cultures
This article has 15 authors:Reviewed by ScreenIT
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Prediction of the virus incubation period for COVID-19 and future outbreaks
This article has 4 authors:Reviewed by ScreenIT
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Tiger team: a panel of human neutralizing mAbs targeting SARS-CoV-2 spike at multiple epitopes
This article has 23 authors:Reviewed by ScreenIT
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A Multiple Peptides Vaccine against nCOVID-19 Designed from the Nucleocapsid phosphoprotein (N) and Spike Glycoprotein (S) via the Immunoinformatics Approach
This article has 8 authors:Reviewed by ScreenIT
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SARS-CoV-2 targets cortical neurons of 3D human brain organoids and shows neurodegeneration-like effects
This article has 23 authors:Reviewed by ScreenIT
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A replication-competent vesicular stomatitis virus for studies of SARS-CoV-2 spike-mediated cell entry and its inhibition
This article has 23 authors:Reviewed by ScreenIT
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Intra-host Variation and Evolutionary Dynamics of SARS-CoV-2 Population in COVID-19 Patients
This article has 36 authors:Reviewed by ScreenIT
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Clinical And Analytical Performance Of An Automated Serological Test That Identifies S1/S2 Neutralizing IgG In Covid-19 Patients Semiquantitatively
This article has 14 authors:Reviewed by ScreenIT
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CD8+ T cell cross-reactivity against SARS-CoV-2 conferred by other coronavirus strains and influenza virus
This article has 8 authors:Reviewed by ScreenIT