Qiyuan Bai, Hao Chen, Hongxu Liu, Xuhua Li, Yang Chen, Dan Guo, Bing Song, Cuntao Yu
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Molecular structure of NRG-1 protein and its impact on adult hypertension and heart failure: A new clinical Indicator diagnosis based on advanced machine learning.
The purpose of this study was to investigate the molecular structure of NRG-1 protein and its mechanism of action in adult hypertensive heart failure. The amino acid sequence of NRG-1 protein was analyzed by bioinformatics method. High-throughput sequencing was used to compare NRG-1 gene expression levels in hypertensive patients and healthy controls. Using advanced machine learning algorithms, large amounts of clinical data are analyzed to identify biomarkers associated with heart failure. Specific mutation sites in the molecular structure of NRG-1 protein were found to be significantly correlated with the occurrence of adult hypertensive heart failure. Through training and validation of machine learning models, we successfully identified a set of biomarkers strongly associated with heart failure, including a specific fragment of the NRG-1 protein.
期刊介绍：
The International Journal of Biological Macromolecules is a well-established international journal dedicated to research on the chemical and biological aspects of natural macromolecules. Focusing on proteins, macromolecular carbohydrates, glycoproteins, proteoglycans, lignins, biological poly-acids, and nucleic acids, the journal presents the latest findings in molecular structure, properties, biological activities, interactions, modifications, and functional properties. Papers must offer new and novel insights, encompassing related model systems, structural conformational studies, theoretical developments, and analytical techniques. Each paper is required to primarily focus on at least one named biological macromolecule, reflected in the title, abstract, and text.
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