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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Structural and Evolutionary Analysis Indicate that the SARS-CoV-2 Mpro is an Inconvenient Target for Small-Molecule Inhibitors Design
This article has 6 authors:Reviewed by ScreenIT
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Screening of FDA-approved drugs using a MERS-CoV clinical isolate from South Korea identifies potential therapeutic options for COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Rapid Detection of SARS-CoV-2 Using Reverse transcription RT-LAMP method
This article has 14 authors:Reviewed by ScreenIT
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Designing of a next generation multiepitope based vaccine (MEV) against SARS-COV-2: Immunoinformatics and in silico approaches
This article has 7 authors:Reviewed by ScreenIT
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CRISPR-based surveillance for COVID-19 using genomically-comprehensive machine learning design
This article has 5 authors:Reviewed by ScreenIT
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Estimation of Local Novel Coronavirus (COVID-19) Cases in Wuhan, China from Off-Site Reported Cases and Population Flow Data from Different Sources
This article has 8 authors:Reviewed by ScreenIT
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Comparative genomic analysis revealed specific mutation pattern between human coronavirus SARS-CoV-2 and Bat-SARSr-CoV RaTG13
This article has 5 authors:Reviewed by ScreenIT
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Kallikrein 13: a new player in coronaviral infections
This article has 12 authors:Reviewed by ScreenIT
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TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection
This article has 8 authors:Reviewed by ScreenIT
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Analysis on the Clinical Characteristics of 36 Cases of Novel Coronavirus Pneumonia in Kunming
This article has 8 authors:Reviewed by ScreenIT