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 123):
A method of preventing or treating human cytomegalovirus (hCMV) infection comprising administering to a subject a hCMV vaccine that comprises (a) a RNA polynucleotide comprising an open reading frame (ORF) that comprises the nucleotide sequence of SEQ ID NO: 108, (b) a RNA polynucleotide comprising an ORF that comprises the nucleotide sequence of SEQ ID NO: 109, (c) a RNA polynucleotide comprising an ORF that comprises the nucleotide sequence of SEQ ID NO: 110, (d) a RNA polynucleotide comprising an ORF that comprises the nucleotide sequence of SEQ ID NO: 93, (e) a RNA polynucleotide comprising an ORF that comprises the nucleotide sequence of SEQ ID NO: 112, and (f) a RNA polynucleotide comprising an ORF that comprises the nucleotide sequence of SEQ ID NO: 113, wherein the RNA 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 a subject administered a dose of the vaccine.

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): 0.7371596830984121
- 35 USC 102 Novelty (BERT): 0.7692599272592644
- Combined Prediction Score: 0.7403697075144974
- Mean Citation Score: 598.9896759999998
- Max Citation Score: 1014.46155
- Similarity Product: 890.9596873164653

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