Integrating multi-omics, machine learning, and molecular dynamics simulations to identify glutamate metabolism-related biomarkers and drug candidates in rheumatoid arthritis

BackgroundRheumatoid arthritis (RA) is a chronic autoimmune disorder marked by progressive joint destruction and functional impairment. Increasing data indicate that glutamate metabolism is critically involved in RA pathogenesis. This analysis aimed to identify glutamate metabolism-related biomarker...

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Autores principales:	Bingrui Zhu, Baoliang Li, Shuxu Zhang, Wenzhuo Qi, Zhou Mu, Peng Kong, Yingguang Han, Zhigang Shi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2026-04-01
Colección:	Frontiers in Molecular Biosciences
Materias:	biomarker glutamate metabolism machine learning molecular dynamics simulation rheumatoid arthritis single-cell sequencing
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fmolb.2026.1834429/full
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