Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information

Protein-protein interactions (PPIs) are critical for understanding the molecular mechanisms underlying various biological processes, particularly in microbes associated with cardiovascular disease. Traditional experimental methods for detecting PPIs are often time-consuming and costly, leading to an...

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Veröffentlicht in:	Frontiers in pharmacology Jg. 16; S. 1565860
Hauptverfasser:	Zhou, Senyu, Luo, Jian, Tang, Mei, Li, Chaojun, Li, Yang, He, Wenhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 11.03.2025
Schlagworte:	cardiovascular disease CatBoost deep denoising autoencoder evolutionary information Pharmacology protein–protein interactions protein–protein interactions cardiovascular disease evolutionary information deep denoising autoencoder CatBoost
ISSN:	1663-9812, 1663-9812
Online-Zugang:	Volltext
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