p53-LNP Designer

In Silico LNP Formulation Platform for TP53-Targeted mRNA Delivery

p53-LNP Designer is a computational platform for exploring and predicting lipid nanoparticle (LNP) formulations for TP53/p53-based cancer therapeutics.

The platform connects:

• TP53 mutations
• Cancer type
• mRNA cargo
• Ionizable lipid properties
• LNP formulation parameters
• Predicted delivery characteristics
• Cancer-specific targeting strategies

Research software: Computational predictions are intended for research and hypothesis generation and should not be interpreted as experimentally validated formulations or clinical recommendations.

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Overview

Lipid nanoparticles are an important delivery technology for nucleic-acid therapeutics, including mRNA. Selecting an appropriate ionizable lipid and formulation composition remains a challenging optimization problem.

p53-LNP Designer aims to provide an in silico workflow for evaluating and ranking candidate LNP formulations.

TP53 Mutation
      |
      v
Cancer Type + Cargo
      |
      v
Lipid Library
      |
      +-- pKa
      +-- logP
      +-- Charge
      +-- Structure
      +-- Molecular Descriptors
      |
      v
Formulation Prediction
      |
      +-- Encapsulation Efficiency
      +-- Particle Size
      +-- PDI
      +-- Endosomal Escape
      |
      v
Targeting Strategy
      |
      v
Ranked Formulation Candidates
      |
      v
Research Report