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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TMPRSS2, a SARS-CoV-2 internalization protease is downregulated in head and neck cancer patients
This article has 18 authors:Reviewed by ScreenIT
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Massive transient damage of the olfactory epithelium associated with infection of sustentacular cells by SARS-CoV-2 in golden Syrian hamsters
This article has 16 authors:Reviewed by ScreenIT
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Drug repurposing screens identify chemical entities for the development of COVID-19 interventions
This article has 32 authors:Reviewed by ScreenIT
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Lack of Susceptibility to SARS-CoV-2 and MERS-CoV in Poultry
This article has 6 authors:Reviewed by ScreenIT
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The Integrin Binding Peptide, ATN-161, as a Novel Therapy for SARS-CoV-2 Infection
This article has 8 authors:Reviewed by ScreenIT
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Machine Learning Models Identify Inhibitors of SARS-CoV-2
This article has 16 authors:Reviewed by ScreenIT
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Antigenic Evolution on a Global Scale Reveals the Potential Natural Selection of Severe Acute Respiratory Syndrome-Coronavirus 2 by Pre-existing Cross-Reactive T-Cell Immunity
This article has 6 authors:Reviewed by ScreenIT
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Targeting ACE2–RBD Interaction as a Platform for COVID-19 Therapeutics: Development and Drug-Repurposing Screen of an AlphaLISA Proximity Assay
This article has 7 authors:Reviewed by ScreenIT
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Extremes of age are associated with differences in the expression of selected pattern recognition receptor genes and ACE2, the receptor for SARS-CoV-2: implications for the epidemiology of COVID-19 disease
This article has 12 authors:Reviewed by ScreenIT
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Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
This article has 6 authors:Reviewed by ScreenIT