NCBI PubMed Central
open access
Unveiling anti-atherosclerotic targets of Perilla frutescens through a multi-scale computational framework integrating network pharmacology, single-cell analysis, machine learning, and molecular dynamics.
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
- Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen#955520
- Interpreting the Black Box: Interpretable Machine Learning and Systems Pharmacology in Small-Molecule Therapeutics.#317703
- Assay-Aware BindingDB: Curating Experimental Context for Binding Affinity Prediction#1119074
- Computational Discovery of Angiotensin-(1-7)-like Peptides Targeting the MAS Receptor from the Genomic Dark Matter of Saccharomyces cerevisiae.#412287
- Theranostic Nanoprobes for Rheumatoid Arthritis: From Inflammation Visualization to Guided Precision Therapy.#425117
Record · ID 280933
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