PATENT CLAIM ANALYSIS

Application Number: 16181098
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-02
Patent Classification: ["424", "130100"]

Abstract:
The present invention related to immunotherapeutic peptides and their use in immunotherapy, in particular the immunotherapy of cancer. Specifically, the invention provides a method of identifying tumor specific neoantigens that alone or in combination with other tumor-associated peptides serve as active pharmaceutical ingredients of vaccine compositions which stimulate anti-tumor responses.

Claim (Index 1):
A method comprising\n (a) identifying a plurality of nucleic acid sequences from nucleic acid sequences from cancer cells of a subject that are unique to the cancer cells and that do not include nucleic acid sequences from non-cancer cells of the subject, wherein the identified plurality of nucleic acid sequences encode two or more different peptide sequences, wherein each of the two or more different peptide sequences are expressed by the cancer cells and comprise a cancer specific mutation; (b) predicting which epitopes of the two or more different peptide sequences form a complex with an expressed protein encoded by an HLA allele of the subject by an HLA peptide binding analysis; and (c) selecting at least two epitopes predicted in (b) based on the HLA peptide binding analysis.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 98.0
- Lexical Diversity: 1.22727
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13108610', '15154543', '15466729', '14850864', '11942607']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7259021612582839
- 35 USC 102 Novelty (BERT): 0.6026415088810485
- Combined Prediction Score: 0.7135760960205604
- Mean Citation Score: 379.90037
- Max Citation Score: 598.5436
- Similarity Product: 461.3148064507484

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

Dataset: test