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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Disrupting ACE2 Dimerization Mitigates the Infection by SARS-COV-2
This article has 3 authors:Reviewed by ScreenIT
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Workplace Infection Prevention Control Measures and Work Engagement During the COVID-19 Pandemic among Japanese Workers: A Prospective Cohort Study
This article has 10 authors:Reviewed by ScreenIT
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Intensity and longevity of SARS-CoV-2 vaccination response in patients with immune-mediated inflammatory disease: a prospective cohort study
This article has 33 authors:Reviewed by ScreenIT
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Model evolution in SARS-CoV-2 spike protein sequences using a generative neural network
This article has 1 author:Reviewed by ScreenIT
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Genome wide screen of RNAi molecules against SARS-CoV-2 creates a broadly potent prophylaxis
This article has 19 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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A potent synthetic nanobody with broad-spectrum activity neutralizes SARS-Cov-2 virus and Omicron variant through a unique binding mode
This article has 16 authors:Reviewed by ScreenIT
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Lowered oxygen saturation and increased body temperature in acute COVID-19 largely predict chronic fatigue syndrome and affective symptoms due to Long COVID: A precision nomothetic approach
This article has 5 authors:Reviewed by ScreenIT
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An ACAT inhibitor regulates SARS-CoV-2 replication and antiviral T cell activity
This article has 17 authors:Reviewed by ScreenIT
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Evolution of a globally unique SARS-CoV-2 Spike E484T monoclonal antibody escape mutation in a persistently infected, immunocompromised individual
This article has 21 authors:Reviewed by ScreenIT
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The Brain Reacting to COVID-19: Analysis of the Cerebrospinal Fluid and Serum Proteome,Transcriptome and Inflammatory Proteins
This article has 28 authors:Reviewed by ScreenIT