PATENT CLAIM ANALYSIS

Application Number: 15758187
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-01
Patent Classification: ["424", "185100"]

Abstract:
The present disclosure relates to CCL22 as a novel T cell target in cancer immunosuppression.

Claim (Index 1):
A vaccine composition comprising:\n a) one or more of the following:\n (i) CCL22 of SEQ ID NO: 12 or of SEQ ID NO: 15 or an immunogenically active peptide fragment of CCL22 comprising a consecutive sequence of amino acids of CCL22 of SEQ ID NO: 12 or SEQ ID NO: 15; \n (ii) an immunogenically active peptide fragment of CCL22, which is an MHC Class I-restricted peptide fragment or MHC Class II-restricted peptide fragment; \n (iii) a functional homologue of the polypeptides under (i) and (ii), wherein said functional homologue shares at least 70% sequence identity with SEQ ID NO: 12 or SEQ ID NO: 15, and/or said functional homologue is an immunogenically active polypeptide consisting of a sequence identical to a consecutive sequence of amino acids of SEQ ID NO: 12 or SEQ ID NO: 15, except that at the most three amino acids have been substituted, such as at the most two amino acids, such as at the most one amino acid; \n (iv) a polypeptide comprising any of the polypeptides under (i), (ii) or (iii)); \n (v) a nucleic acid encoding any of the polypeptides under (i), (ii) or (iii); and optionally \n b) an adjuvant.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 90.0
- Lexical Diversity: 1.0
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14352407', '15231075', '12988124', '10580016', '13031396']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7733582806216301
- 35 USC 102 Novelty (BERT): 0.5685950991191508
- Combined Prediction Score: 0.7528819624713823
- Mean Citation Score: 418.076916
- Max Citation Score: 477.45294
- Similarity Product: 384.397800208025

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

Dataset: test