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Dataset . 2023
License: CC BY
Data sources: ZENODO
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Dataset . 2024
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Dataset . 2023
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Data sources: Datacite
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Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Validation of de novo designed water-soluble and transmembrane proteins by in silico folding and melting

Authors: Alvaro Martin Hermosilla; Carolin Berner; Sergey Ovchinnikov; Anastassia Andreevna Vorobieva;

Validation of de novo designed water-soluble and transmembrane proteins by in silico folding and melting

Abstract

Here are all of the datasets generated and analysed during this study. Here is a breakdown of their content: 8_stranded_transmembrane_barrels.zip - raw data from the Alphafold (3 and 48 recycles), ESM fold and raptor predictions of the 8 stranded beta barrels. A file with all the sequences is also given 12_stranded_transmembrane_barrels.zip - raw data from the Alphafold and ESMfold predictions of the 12 stranded beta barrels. A file with all the sequences is also given water_soluble_barrels.zip - raw data from the Alphafold and ESMfold predictions of the water soluble beta barrels. A file with all the sequences is also given ESMfold_masking_exp.tar - this tar file contains all the ESMfold masking experiments performed to the water-soluble barrels as well as the 8 and 12-stranded transmembrane barrels. Inside there are zipped datasets for each masking experiment ziped_raw_csv_files.zip - raw csv files with all the data necessary to analyse the figures analysis_notebooks.zip - Jupyter notebooks used to analyse the output prediction data for all figures

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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