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Updated: Jan 13, 2026

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

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A deep learning and large language hybrid workflow for omics interpretation.

Dachao Tang¹, Chi Zhang¹, Weizhi Zhang¹

¹Department of Bioinformatics and Systems Biology, MOE Key Laboratory of Molecular Biophysics, Hubei Bioinformatics and Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Nature Biomedical Engineering

|January 8, 2026

Summary

This summary is machine-generated.

LyMOI, a novel hybrid workflow, uses AI to interpret complex omics data, uncovering new autophagy regulators and potential cancer drug targets like CTSL and FAM98A. This approach enhances mechanistic understanding and identifies therapeutic strategies for cancer treatment.

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Area of Science:

Computational Biology
Systems Biology
Artificial Intelligence in Omics

Background:

Interpreting large-scale omics data for regulatory networks is challenging.
Mechanistic interpretation and experimental validation are crucial but often limited.

Purpose of the Study:

To develop a hybrid AI workflow (LyMOI) for advanced omics data interpretation.
To mechanistically interpret biological systems and identify novel regulators.

Main Methods:

Combined deep learning (graph convolutional networks) and large language models (GPT-3.5).
Integrated evolutionarily conserved protein interactions and hierarchical fine-tuning.
Utilized machine chain-of-thought (CoT) for mechanistic interpretation of multi-omics data.

Main Results:

LyMOI successfully interpreted 1.3 TB of omics data related to autophagy.
Identified CTSL and FAM98A as human oncoproteins enhancing autophagy with disulfiram (DSF).
Silencing CTSL/FAM98A reduced DSF-mediated autophagy and cancer cell proliferation.

Conclusions:

LyMOI provides a powerful framework for omics interpretation and biological discovery.
CTSL and FAM98A are key regulators of DSF-induced autophagy in cancer.
DSF combined with a CTSL inhibitor shows potent in vivo tumor growth inhibition.