// AI news · 2026-11-07 · Nature
Network toxicology and ML reveal DOTP's role in SLE pathogenesis
A network toxicology and machine learning study identifies 39 DOTP-SLE associated targets.
Published 2026-11-07 08:00 (Beijing time)Source NatureAuto-summarised, fact-checked against source
01Summary
GO and KEGG analyses link them to inflammatory cytokine production and immune activation. Six key targets—NFKB1, TLR4, CASP9, CDK5, DNMT1, PRKCD—are prioritized via PPI and ML. Molecular docking predicts favorable binding between DOTP and these targets. CIBERSORT and ROC analyses support immune cell infiltration and cohort discrimination.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Identified 39 DOTP-SLE associated targets via network toxicology and transcriptomics
- GO and KEGG analyses link targets to inflammation and immune activation
- Six key targets (NFKB1, TLR4, etc.) prioritized by PPI and machine learning
- Molecular docking predicts favorable DOTP-target binding interactions
03Source
Nature · published 2026-11-07 08:00 Beijing time
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