Help & Documentation
Complete guide to using LNP Atlas for lipid nanoparticle research and formulation analysis
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Getting Started
What is LNP Atlas?
LNP Atlas is the most comprehensive database of lipid nanoparticle (LNP) formulations for nucleic acid delivery. Our database contains 1,092 standardized LNP formulations extracted from peer-reviewed publications spanning 2010–2024, covering 187 unique ionizable lipids across diverse cargo applications.
Quick Start Guide
- Search: Use the main search bar to find formulations by lipid name, paper title, or research group
- Filter: Apply filters to narrow results by particle size, encapsulation efficiency, or application type
- Explore: Click on formulation cards to view detailed information including synthesis conditions and performance data
- Analyze: Use the Analytics dashboard to identify trends and structure–activity relationships
- Export: Download filtered datasets for your own analysis or machine learning applications
Database Overview
Data Collection Methodology
Our database was constructed using an AI-assisted data extraction workflow with Claude (Anthropic) to convert literature data into structured JSON, followed by Python-based standardization pipelines and manual QC.
Download
We provide comprehensive datasets in multiple formats under CC BY 4.0.
Full database export with all 1,092 formulations, 28 standardized fields, and metadata
Data Fields Guide
Lipid names use standardized nomenclature; original names are shown on each formulation’s detail page.
Core Formulation Data
| Field Name | Description |
|---|---|
| ionizable_lipid | Standardized name (e.g., DLin-MC3-DMA, ALC-0315) |
| peg_lipid | PEGylated lipid for colloidal stability |
| sterol_lipid | Cholesterol or derivatives |
| helper_lipid | DOPE, DSPC, etc., aiding bilayer formation |
| lipid_molar_ratio | ionizable:PEG:sterol:helper |
Physicochemical Properties
Values may be single, ± error, or ranges as reported.
| Field Name | Units | Description |
|---|---|---|
| particle_size_nm_std | nm | Hydrodynamic diameter |
| pdi_std | — | Polydispersity index |
| zeta_potential_mv_std | mV | Surface charge |
| encapsulation_efficiency_percent_std | % | Encapsulation efficiency |
Biological and Synthesis Data
Additional fields include cargo specs, synthesis parameters, and bioactivity.
- target_type (mRNA, siRNA, DNA, ASO, empty)
- nucleic_acid_sequence (e.g., firefly_luciferase)
- synthesis_info (method/device/conditions)
- bioactivity_profile (in vitro / in vivo)
- *_smiles (structure notation)
Frequently Asked Questions
General Questions
Q: How often is the database updated?
We continuously monitor literature and add new studies regularly.
Q: Can I use this data for commercial research?
Yes—CC BY 4.0 allows academic & commercial use with attribution.
Q: Why do some formulations have missing data?
Not all publications report every property; we avoid interpolation.
Q: How do I cite LNP Atlas?
Song et al., “LNP Atlas …” (2025). URL: http://lnp-atlas.kisti.re.kr
Technical Questions
Q: What export formats are supported?
CSV for UI export; JSON via API for programmatic use.
Q: Are SMILES available for all lipids?
Most common lipids include SMILES; novel lipids may need curation.
Need Additional Help?
Can’t find what you need? Reach out:
sj.seo@kisti.re.kr
Open issues and request features