Datasets and Experimental validation primary data from "Experimentally Validated Deep Learning Control of Protein Aggregation"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Vojtěch Cima, Antonín Kunka, Joan Planas-Iglesias, Ekaterina Grakova, Martin Havlásek, Madhumalar Subramanian, Michal Běloch, Martin Marek, Kateřina Slaninová, Jiřı́ Damborský, Zbyněk Prokop, David Bednář
+1 more Jan Martinovič
DOI: 10.5281/zenodo.18670708
Cited by: 0

Abstract

Supplementary files to the manuscript entitled "Experimentally Validated Deep Learning Control of Protein Aggregation", containing experimental raw data on the i) experimentally characterised hexapeptides; ii) TEM micrographs and their analysis; iii) Thioflavin T emission spectra and iv) Experimental characterization of LinB variants, in addition to the datasets v) AmyPro27 and vi) AmyPro37

Fields of Study & Subjects

Alzheimer's disease research and treatments Protein purification and stability Protein Structure and Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN
Document type
Dataset