PATENT CLAIM ANALYSIS

Application Number: 16037150
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["435", "007320"]

Abstract:
The present invention concerns a composition comprising at least three peptides derived from  Mycobacterium tuberculosis  antigen Rv2626c, its use in the diagnostic of latently infected  Mycobacterium tuberculosis  (LTBI) subjects, corresponding methods of use and kits.

Claim (Index 6):
A composition according to  claim 1  comprising:\n peptides 6, 12, 18, 24, 30 and 36 or fragments of at least 3 amino acids thereof; \n peptides 7, 8, 9, 10, 11 and 12 or fragments of at least 3 amino acids thereof; \n peptides 19, 20, 21, 22, 23 and 24 or fragments of at least 3 amino acids thereof; \n peptides 31, 32, 33, 34, 35 and 36 or fragments of at least 3 amino acids thereof; \n peptides 1, 7, 13, 19, 25 and 31 or fragments of at least 3 amino acids thereof; \n peptides 2, 8, 14, 20, 26 and 32 or fragments of at least 3 amino acids thereof; \n peptides 3, 9, 15, 21, 27 and 33 or fragments of at least 3 amino acids thereof; \n peptides 4, 10, 16, 22, 28 and 34 or fragments of at least 3 amino acids thereof; \n peptides 5, 11, 17, 23, 29 and 35 or fragments of at least 3 amino acids thereof; or \n peptides 13, 14, 15, 16, 17 and 18 or fragments of at least 3 amino acids thereof.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 1.14286
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15505292', '13263442', '15104957', '13119938', '10593384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5952484385640344
- 35 USC 102 Novelty (BERT): 0.5621060054613344
- Combined Prediction Score: 0.5919341952537645
- Mean Citation Score: 364.22367
- Max Citation Score: 527.5229
- Similarity Product: 295.2777154813767

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

Dataset: test