Design of Diverse, Functional Mitochondrial Targeting Sequences Across Eukaryotic Organisms Using Variational Autoencoder

Themes: Conversion, Feedstock Production

Keywords: AI/ML, Metabolic Engineering, Modeling, Software

Citation

Boob, A.G., Tan, S.I., Zaidi, A., Singh, N., Xue, X., Zhou, S., Martin, T.A., Chen, L.Q., Zhao, H. Aug 29, 2024. “MTS-VAE” Zenodo. DOI: 10.5281/zenodo.14590156.

Overview

Characterization of MTSs in four eukaryotic organisms and its application in S. cerevisiae.

This repository accompanies the work “Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder“. It includes the datasets for model training, validation, and downstream analysis.

Data

Zenodo: Datasets for model training, validation, and downstream analysis

GitHub: MTS-VAE, software packages

Download (464.1 KB) includes:

  • Strain data
  • AMTS functionality
  • Mitochondrial targeting efficiency

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