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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Impacts of the COVID-19 pandemic on a human research islet program
This article has 8 authors:Reviewed by ScreenIT
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Rapid selection of P323L in the SARS-CoV-2 polymerase (NSP12) in humans and non-human primate models and confers a large plaque phenotype
This article has 27 authors:Reviewed by ScreenIT
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Memory B cell repertoire from triple vaccinees against diverse SARS-CoV-2 variants
This article has 34 authors:Reviewed by ScreenIT
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Homologous or heterologous booster of inactivated vaccine reduces SARS-CoV-2 Omicron variant escape from neutralizing antibodies
This article has 13 authors:Reviewed by ScreenIT
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In vitro evolution predicts emerging SARS-CoV-2 mutations with high affinity for ACE2 and cross-species binding
This article has 9 authors:Reviewed by ScreenIT
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An ultrapotent RBD-targeted biparatopic nanobody neutralizes broad SARS-CoV-2 variants
This article has 16 authors:Reviewed by ScreenIT
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Designing multi-epitope based peptide vaccine targeting spike protein SARS-CoV-2 B1.1.529 (Omicron) variant using computational approaches
This article has 4 authors:Reviewed by ScreenIT
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Convalescence from prototype SARS-CoV-2 protects Syrian hamsters from disease caused by the Omicron variant
This article has 35 authors:Reviewed by ScreenIT
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Broad and Long-lasting Immune Response against SARS-CoV-2 Omicron and Other Variants by PIKA-Adjuvanted Recombinant SARS-CoV-2 Spike (S) Protein Subunit Vaccine (YS-SC2-010)
This article has 4 authors:Reviewed by ScreenIT
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Conformational Flexibility and Local Frustration in the Functional States of the SARS-CoV-2 Spike B.1.1.7 and B.1.351 Variants: Mutation-Induced Allosteric Modulation Mechanism of Functional Dynamics and Protein Stability
This article has 1 author:Reviewed by ScreenIT