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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SARS-CoV-2 and Three Related Coronaviruses Utilize Multiple ACE2 Orthologs and Are Potently Blocked by an Improved ACE2-Ig
This article has 15 authors:Reviewed by ScreenIT
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De novo design and Rosetta‐based assessment of high‐affinity antibody variable regions (Fv) against the SARS‐CoV ‐2 spike receptor binding domain ( RBD )
This article has 7 authors:Reviewed by ScreenIT
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Comparative ACE2 variation and primate COVID-19 risk
This article has 5 authors:Reviewed by ScreenIT
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Analysis of the mutation dynamics of SARS-CoV-2 reveals the spread history and emergence of RBD mutant with lower ACE2 binding affinity
This article has 11 authors:Reviewed by ScreenIT
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In-Depth Bioinformatic Analyses of Nidovirales Including Human SARS-CoV-2, SARS-CoV, MERS-CoV Viruses Suggest Important Roles of Non-canonical Nucleic Acid Structures in Their Lifecycles
This article has 11 authors:Reviewed by ScreenIT
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A virus that has gone viral: amino acid mutation in S protein of Indian isolate of Coronavirus COVID-19 might impact receptor binding, and thus, infectivity
This article has 5 authors:Reviewed by ScreenIT
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Evaluation of Chemical Protocols for Inactivating SARS-CoV-2 Infectious Samples
This article has 6 authors:Reviewed by ScreenIT
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Classical drug digitoxin inhibits influenza cytokine storm, with implications for COVID-19 therapy
This article has 4 authors:Reviewed by ScreenIT
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To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT
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High-throughput extraction of SARS-CoV-2 RNA from nasopharyngeal swabs using solid-phase reverse immobilization beads
This article has 6 authors:Reviewed by ScreenIT