Identification of neuronal synapse-related signatures and potential therapeutic drugs in colorectal cancer based on machine learning algorithms and molecular docking

This is the first study to develop neuron synapse-related biomarkers from the perspective of neuron-cancer interactions using machine learning. We constructed a robust NSRS model and identified candidate drugs targeting prognostic NSGs, providing new insights into CRC prognosis and treatment.

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Publication Details

Journal
Translational Cancer Research
Published
2025-05-01
DOI
https://doi.org/10.21037/tcr-24-1988
Primary Topic
Computational Drug Discovery Methods
Type
article
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0.00
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article

Identification of neuronal synapse-related signatures and potential therapeutic drugs in colorectal cancer based on machine learning algorithms and molecular docking

Yang Vivian Yang, Wenjing Wu, Xiaoning Yang, Kan Wang
Translational Cancer Research
Computational Drug Discovery Methods
article

Identification of neuronal synapse-related signatures and potential therapeutic drugs in colorectal cancer based on machine learning algorithms and molecular docking

Yang Vivian Yang, Wenjing Wu, Xiaoning Yang, Kan Wang
article en

Abstract

This is the first study to develop neuron synapse-related biomarkers from the perspective of neuron-cancer interactions using machine learning. We constructed a robust NSRS model and identified candidate drugs targeting prognostic NSGs, providing new insights into CRC prognosis and treatment.

Translational Cancer ResearchVol. 14(5)
Xiamen University (CN), Zhongshan Hospital of Xiamen University (CN)
Good health and well-being
Openalex Percentile: Top 87%
Computational Drug Discovery Methods
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