PATENT CLAIM ANALYSIS

Application Number: 16015988
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["424", "489000"]

Abstract:
Compositions and methods for the therapy and diagnosis of Inflammatory Bowel Disease (IBD), including Crohn's Disease and Ulcerative Colitis, are disclosed. Illustrative compositions comprise one or more bacterial polypeptides, immunogenic portions thereof, polynucleotides that encode such polypeptides, antigen presenting cell that expresses such polypeptides, and T cells that are specific for cells expressing such polypeptides. The disclosed compositions are useful, for example, in the diagnosis, prevention and/or treatment of IBD.

Claim (Index 73):
A method of detecting the presence of inflammatory bowel disease in a subject, the method comprising:\n (a) obtaining a biological sample from the subject; (b) contacting the biological sample with a polypeptide having at least 90% identity to an amino acid sequence of any one of SEQ ID NO:79, 84, 86, 80-82, 38-50, or 88-89; (c) detecting an amount of an antibody in the biological sample that binds to the polypeptide; and (d) comparing the amount of bound antibody to a predetermined cut-off value, wherein the presence of inflammatory bowel disease is detected when the amount of bound antibody is higher than the cut-off value.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 94.0
- Lexical Diversity: 1.60377
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12036588', '13684077', '15047547', '13092888', '10449857']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6948314144951152
- 35 USC 102 Novelty (BERT): 0.5034225054059089
- Combined Prediction Score: 0.6756905235861946
- Mean Citation Score: 252.558432
- Max Citation Score: 264.6035
- Similarity Product: 211.89299123585224

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