PATENT CLAIM ANALYSIS

Application Number: 16122261
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["424", "204100"]

Abstract:
The present disclosure provides methods, kits, and compositions for detecting subject anti-HCV antibodies in a sample using NS3 capture peptides. In certain embodiments, at least two NS3 helicase (NS3h) capture peptides and at least two conjugate peptides (e.g., NS3h conjugate peptides) are employed together, which allows for a broad dynamic range of subject antibody detection in a one-step type assay. In other embodiments, methods are provided of detecting NS3-specific subject antibodies without the use of a reducing agent. In some embodiments, NS3-specific subject antibodies are detected with a ‘double shot’ of NS3 conjugate peptide (e.g., conjugate peptide added to a sample both before and after washing).

Claim (Index 12):
A composition comprising:\n a) first and second NS3h capture peptides, each of which comprises an amino acid sequence encoding at least one HCV NS3 helicase epitope; wherein the first and second NS3h capture peptides have different amino acid sequences, and are able to bind to at least one subject antibody in a biological sample to form capture complexes, and b) first and second conjugate peptides, each of which is able to bind to the at least one subject antibody in the capture complexes.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 97.0
- Lexical Diversity: 1.8
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14925778', '15642992', '14752262', '13168373', '11213326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7515883970973173
- 35 USC 102 Novelty (BERT): 0.6025850808368765
- Combined Prediction Score: 0.7366880654712732
- Mean Citation Score: 385.736148
- Max Citation Score: 562.93024
- Similarity Product: 462.697065143776

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

Dataset: test