PATENT CLAIM ANALYSIS

Application Number: 16006526
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-09
Patent Classification: ["424", "186100"]

Abstract:
The disclosure describes HCMV ribonucleic acid (RNA) vaccines, as well as methods of using the vaccines and compositions comprising the vaccines.

Claim (Index 105):
A method of preventing or treating human cytomegalovirus (hCMV) infection comprising administering to a subject a hCMV vaccine that comprises (a) a messenger ribonucleic acid (mRNA) polynucleotide comprising an open reading frame encoding a hCMV gH polypeptide; (b) a mRNA polynucleotide comprising an open reading frame encoding a hCMV gL polypeptide; (c) a mRNA polynucleotide comprising an open reading frame encoding a hCMV UL128 polypeptide; (d) a mRNA polynucleotide comprising an open reading frame encoding a hCMV UL130 polypeptide; (e) a mRNA polynucleotide comprising an open reading frame encoding a hCMV UL131A polypeptide; and (f) a mRNA polynucleotide comprising an open reading frame encoding a hCMV gB polypeptide, wherein the mRNA polynucleotides of (a)-(f) are formulated in a lipid nanoparticle that comprises a molar ratio of 20-60% ionizable cationic lipid, 5-25% non-cationic lipid, 25-55% sterol, and 0.5-15% PEG-modified lipid, in an effective amount to induce an immune response in the subject, wherein the mRNA polynucleotides of (a)-(f) are not self-replicating RNA.

Metadata:
- Claim Count in Document: 79.0
- Percentile: 94.0
- Lexical Diversity: 1.19048
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15674569', '15001825', '14815162', '14949161', '14973409']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7358384184449105
- 35 USC 102 Novelty (BERT): 0.7727518754330283
- Combined Prediction Score: 0.7395297641437223
- Mean Citation Score: 598.9896759999998
- Max Citation Score: 1014.46155
- Similarity Product: 901.0080302822472

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