PATENT CLAIM ANALYSIS

Application Number: 16238583
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-04
Patent Classification: ["514", "001700"]

Abstract:
Provided is a peptide for preventing or treating inflammatory diseases and a use thereof. According to a novel dimeric peptide according to the present invention, it is possible to not only exhibit an excellent therapeutic effect through anti-inflammatory action but also have a very small-sized peptide, thereby minimizing side effects due to the administration of external substances and will be expected to be used as an active substance that can replace existing therapeutic agents for inflammatory diseases.

Claim (Index 5):
The method of  claim 3 , wherein the inflammatory disease is selected from the group consisting of atopic dermatitis, psoriasis, dermatitis, eczema, allergies, arthritis, rhinitis, otitis media, sore throat, tonsillitis, cystitis, nephritis, pelvic inflammatory disease, Crohn's disease, ulcerative colitis, ankylosing spondylitis, systemic lupus erythematosus (SLE), asthma, edema, delayed allergy (IV type allergy), graft rejection, graft versus host disease, autoimmune encephalopathy, multiple sclerosis, inflammatory bowel disease, cystic fibrosis, diabetic retinopathy, ischemia-reperfusion injury, vascular restenosis, glomerulonephritis, and gastrointestinal allergy.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 99.0
- Lexical Diversity: 1.32787
- Patent Class: 514.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15739953', '15739942', '14412020', '15936686', '15570910']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.815719488493884
- 35 USC 102 Novelty (BERT): 0.5406492041920076
- Combined Prediction Score: 0.7882124600636964
- Mean Citation Score: 280.464784
- Max Citation Score: 386.79163
- Similarity Product: 281.46709144939604

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

Dataset: test