PATENT CLAIM ANALYSIS

Application Number: 16229509
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["424", "450000"]

Abstract:
This disclosure provides improved lipid-based compositions, including lipid nanoparticle compositions, and methods of use thereof for delivering agents in vivo including nucleic acids and proteins. These compositions are not subject to accelerated blood clearance and they have an improved toxicity profile in vivo.

Claim (Index 1):
A lipid nanoparticle (LNP) comprising a PEG-lipid, an ionizable amino lipid, a helper lipid, a structural lipid, and a biologically active agent;\n wherein the PEG-lipid comprises a compound of Formula (V): or a pharmaceutically acceptable salt thereof, wherein:\n R 3  is \u2014OR O ; R O  is hydrogen, optionally substituted alkyl or an oxygen protecting group; r is an integer between 1 and 100, inclusive; and R 5  is optionally substituted C10-40 alkyl; and \n wherein the ionizable amino lipid is a compound of Formula (XI): \n or a pharmaceutically acceptable salt thereof, wherein:\n 1 is selected from 1, 2, 3, 4, and 5; \n M and M\u2032 are independently selected from C(O)O, and OC(O); \n M 1  is M\u2032; \n R 2  and R 3  are both C 1-14  alkyl, or C 2-14  alkenyl; \n R 4  is (CH 2 ) n Q, in which Q is OH, and n is selected from 2, 3, or 4; and \n R\u2032 is a C 1 -C 18  linear alkyl.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 98.0
- Lexical Diversity: 1.27027
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15674107', '15674872', '16192274', '15846084', '16148822']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7925529602320397
- 35 USC 102 Novelty (BERT): 0.8107863522327108
- Combined Prediction Score: 0.7943762994321069
- Mean Citation Score: 648.435428
- Max Citation Score: 911.3256
- Similarity Product: 894.3970092707635

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

Dataset: test