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PREreviews of Improved AlphaFold modeling with implicit experimental information

1 Rapid PREreview

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Aggregated Rapid PREreviews
Question Yes Unsure N/A No
Are the findings novel? 100% 0% 0% 0%
Are the results likely to lead to future research? 100% 0% 0% 0%
Is sufficient detail provided to allow reproduction of the study? 100% 0% 0% 0%
Are the methods and statistics appropriate for the analysis? 100% 0% 0% 0%
Are the principal conclusions supported by the data and analysis? 100% 0% 0% 0%
Does the manuscript discuss limitations? 100% 0% 0% 0%
Have the authors adequately discussed ethical concerns? 100% 0% 0% 0%
Does the manuscript include new data? 100% 0% 0% 0%
Are the data used in the manuscript available? 100% 0% 0% 0%
Is the code used in the manuscript available? 100% 0% 0% 0%
Would you recommend this manuscript to others? 100% 0% 0% 0%
Do you recommend this manuscript for peer review? 100% 0% 0% 0%

1 PREreview

  1. PREreview by Rafael Najmanovich

    The authors seek out to improve Alphafold (AF) predictions with additional data in an iterative manner. In the specific case here, CryoEM maps. Alphafold predictions are still sub-par for all but approximately 36% of residues with a pLTTD measure below 90 (see [1] and references therein). a pLTTD…

    Read the PREreview by Rafael Najmanovich