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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Identifying SARS-CoV-2 antiviral compounds by screening for small molecule inhibitors of Nsp5 main protease
This article has 22 authors:Reviewed by ScreenIT
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An extended SEIARD model for COVID-19 vaccination in Mexico: analysis and forecast
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 Spike receptor-binding domain with a G485R mutation in complex with human ACE2
This article has 3 authors:Reviewed by ScreenIT
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A Comparison of Performance for Different SARS-Cov-2 Sequencing Protocols
This article has 1 author:Reviewed by ScreenIT
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Graphene oxide/silver nanoparticle ink formulations rapidly inhibit influenza A virus and OC43 coronavirus infection in vitro
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 spike protein expressing epithelial cells promotes senescence associated secretory phenotype in endothelial cells and increased inflammatory response
This article has 4 authors:Reviewed by ScreenIT
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Molecular Architecture of the SARS-CoV-2 Virus
This article has 18 authors:Reviewed by ScreenIT
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On discrete time epidemic models in Kermack-McKendrick form
This article has 4 authors:Reviewed by ScreenIT
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An Extended COVID-19 Epidemiological Model with Vaccination and Multiple Interventions for Controlling COVID-19 Outbreaks in the UK
This article has 9 authors:Reviewed by ScreenIT
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COVIDep: a web-based platform for real-time reporting of vaccine target recommendations for SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT