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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ACE2 coding variants in different populations and their potential impact on SARS-CoV-2 binding affinity
This article has 4 authors:Reviewed by ScreenIT
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Epigenetic Regulator miRNA Pattern Differences Among SARS-CoV, SARS-CoV-2, and SARS-CoV-2 World-Wide Isolates Delineated the Mystery Behind the Epic Pathogenicity and Distinct Clinical Characteristics of Pandemic COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Impact of Thiol–Disulfide Balance on the Binding of Covid-19 Spike Protein with Angiotensin-Converting Enzyme 2 Receptor
This article has 2 authors:Reviewed by ScreenIT
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The transcriptomic profiling of SARS-CoV-2 compared to SARS, MERS, EBOV, and H1N1
This article has 2 authors:Reviewed by ScreenIT
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Lung transcriptome of a COVID-19 patient and systems biology predictions suggest impaired surfactant production which may be druggable by surfactant therapy
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 Proteins Exploit Host’s Genetic and Epigenetic Mediators for the Annexation of Key Host Signaling Pathways
This article has 2 authors:Reviewed by ScreenIT
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Multiple early introductions of SARS-CoV-2 into a global travel hub in the Middle East
This article has 17 authors:Reviewed by ScreenIT
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Massive Multiplexing Can Deliver a $1 Test for COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Coarse-grained molecular simulations of the binding of the SARS-CoV-2 spike protein RBD to the ACE2 receptor
This article has 3 authors:Reviewed by ScreenIT
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Identification of neutralizing human monoclonal antibodies from Italian Covid-19 convalescent patients
This article has 23 authors:Reviewed by ScreenIT