PATENT CLAIM ANALYSIS

Application Number: 15979054
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["424", "450000"]

Abstract:
The present invention provides an improved process for lipid nanoparticle formulation and mRNA encapsulation. In some embodiments, the present invention provides a process of encapsulating messenger RNA (mRNA) in lipid nanoparticles comprising a step of mixing a mRNA solution and a lipid solution, wherein the mRNA solution and/or the lipid solution are at a pre-determined temperature greater than ambient temperature.

Claim (Index 48):
A process of encapsulating messenger RNA (mRNA) encoding cystic fibrosis conductance regulator protein in lipid nanoparticles at an encapsulation efficiency of 85% or greater, the process comprising:\n mixing by a pulse-less flow pump and at a pre-determined temperature greater than ambient temperature (i) an mRNA solution comprising mRNA encoding cystic fibrosis conductance regulator protein and (ii) a lipid solution comprising one or more cationic lipids, one or more helper lipids, and one or more PEG lipids, to produce lipid nanoparticles encapsulating cystic fibrosis conductance regulator protein at an encapsulation efficiency of 85% or greater, wherein the lipid nanoparticles encapsulating cystic fibrosis conductance regulator protein from the mixing have an average size of 80 nm or less.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 93.0
- Lexical Diversity: 1.57143
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14790562', '15878131', '15809605', '15878137', '15451312']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.76216759819838
- 35 USC 102 Novelty (BERT): 0.5494669680719746
- Combined Prediction Score: 0.7408975351857394
- Mean Citation Score: 321.677014
- Max Citation Score: 360.9262
- Similarity Product: 290.604560379982

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test