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Dataset . 2021
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Dataset . 2021
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Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
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ZENODO
Dataset . 2022
License: CC BY
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Supplementary Dataset for Deep learning based kcat prediction enables improved enzyme constrained model reconstruction

Authors: Feiran Li; Le Yuan;

Supplementary Dataset for Deep learning based kcat prediction enables improved enzyme constrained model reconstruction

Abstract

This dataset is the supplementary dataset for the paper "Deep learning based kcat prediction enables improved enzyme constrained model reconstruction". Protein sequence fasta files, deep learning predicted kcat values, classcial-ecGEMs, DL-ecGEMs and Posterior-mean-ecGEMs for 343 yeast/fungi species are available in this dataset.This repository also contains the computed results for reproducing the figures as model_build_files . The scripts can be found in Github (https://github.com/SysBioChalmers/DLKcat)

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Keywords

kcat, Genome scale metabolic model, enzyme constrained metabolic model, turnover rates

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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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influence
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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impulse
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