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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The cellular characterisation of SARS-CoV-2 spike protein in virus-infected cells using Receptor Binding Domain-binding specific human monoclonal antibodies
This article has 14 authors:Reviewed by ScreenIT
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Survival and outcomes of tocilizumab use in severe and critically ill COVID-19 patients not responding to steroids
This article has 6 authors:Reviewed by ScreenIT
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Selection for infectivity profiles in slow and fast epidemics, and the rise of SARS-CoV-2 variants
This article has 5 authors:This article has been curated by 1 group: -
Characterization of the interaction between SARS-CoV-2 Membrane Protein and Proliferating Cell Nuclear Antigen (PCNA) as a Potential Therapeutic Target
This article has 18 authors:Reviewed by ScreenIT
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Production of novel Spike truncations in Chinese hamster ovary cells
This article has 9 authors:Reviewed by ScreenIT
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Intranasal Immunization with a Vaccinia Virus Vaccine Vector Expressing Pre-Fusion Stabilized SARS-CoV-2 Spike Fully Protected Mice against Lethal Challenge with the Heavily Mutated Mouse-Adapted SARS2-N501YMA30 Strain of SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
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The influence of new SARS-CoV-2 variant Omicron (B.1.1.529) on vaccine efficacy, its correlation to Delta variants: A computational approach
This article has 5 authors:Reviewed by ScreenIT
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The structural role of SARS-CoV-2 genetic background in the emergence and success of spike mutations: The case of the spike A222V mutation
This article has 28 authors:Reviewed by ScreenIT
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Dynamic analysis and evaluation of asymptomatic infection in the spread of COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Relative contribution of leaving home for work or education, transport, shopping and other activities on risk of acquiring COVID-19 infection outside the household in the second wave of the pandemic in England and Wales
This article has 15 authors:Reviewed by ScreenIT