Figshare
open access
CC BY 4.0
Integrated docking, molecular dynamics, and Markov state modelling reveal epigenetic target engagement by anti-obesity drugs
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Colorectal cancer landscape from gut microbiota: Insights into mutations, epigenetic dysregulation, and immune microenvironment alterations#642675
- Artificial intelligence driven exposome and multi omics integration for biomarker discovery in liver cancer: a literature review.#437099
- Elucidating the role of SF3B3 in coronary atherosclerosis: integrating bioinformatics and machine learning for advanced insights.#220995
- A novel framework leveraging non-causal associations reveals shared pathways linking inflammation and cancer risk#676344
- A semantic approach for knowledge capture of microRNA-target gene interactions#740948
Record · ID 307762
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive