PATENT CLAIM ANALYSIS

Application Number: 15945887
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-09
Patent Classification: ["424", "134100"]

Abstract:
Disclosed are tumor necrosis factor receptor 1B (TNFR-1B) signaling targets and TNFR-1B mutants and their uses for treatment of diseases and disorders.

Claim (Index 11):
A method for screening for a candidate compound for treating a disease or disorder selected from the group consisting of rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis, plaque psoriasis, juvenile idiopathic arthritis, inflammation, autoimmune disease, immune disorder, Crohn's disease, ulcerative colitis and inflammatory bowel disease, the method comprising testing the compound to determine if the compound modulates the interaction between one or more of TNFR-1B and ICOS-L, TNFR-1B and MadCAM-1, TNFR-1B and ISLR2, and B7-1 and ISLR2, wherein a compound that is tested and determined to modulate the interaction between one or more of TNFR-1B and ICOS-L, TNFR-1B and MadCAM-1, TNFR-1B and ISLR2, and B7-1 and ISLR2 is a candidate compound for treating a disease or disorder selected from the group consisting of rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis, plaque psoriasis, juvenile idiopathic arthritis, inflammation, autoimmune disease, immune disorder, Crohn's disease, ulcerative colitis and inflammatory bowel disease.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 1.13636
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14003756', '14849963', '14122611', '14211604', '13761864']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6274913940850734
- 35 USC 102 Novelty (BERT): 0.5367593107549937
- Combined Prediction Score: 0.6184181857520654
- Mean Citation Score: 311.067136
- Max Citation Score: 355.4463
- Similarity Product: 246.47770214960576

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

Dataset: test