Skip to content
English

Switch theme

// 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

03Source

05Related news

From AIMap AI news: collected from 1,100+ official and media sources. Summaries only restate the original article; follow the link for the full story. All stories of 2026-11-07 · Archive by date · All AI news · Today

Data updated: AI news(UTC+8)