PATENT CLAIM ANALYSIS

Application Number: 16233890
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["514", "100000"]

Abstract:
The present invention relates to a glucagon derivative, a conjugate thereof, and a composition comprising the same, and a therapeutic use thereof, and in particular, for metabolic syndrome, hypoglycemia, and congenital hyperinsulinism.

Claim (Index 85):
The method of  claim 84 , wherein the compound or material having a therapeutic activity for metabolic syndrome is selected from the group consisting of an insulinotropic peptide, a glucagon like peptide-1 (GLP-1) receptor agonist, a leptin receptor agonist, a dipeptidyl peptidase-IV (DPP-IV) inhibitor, a Y5 receptor antagonist, a melanin-concentrating hormone (MCH) receptor antagonist, a Y2/4 receptor agonist, a melanocortin 3/4 (MC 3/4) receptor agonist, a gastric/pancreatic lipase inhibitor, an agonist of 5-hydroxytryptamine receptor 2C (5HT2C, G-protein coupled), a \u03b23A receptor agonist, an amylin receptor agonist, a ghrelin antagonist, a ghrelin receptor antagonist, a peroxisome proliferator-activated receptor alpha (PPAR\u03b1) agonist, a peroxisome proliferator-activated receptor delta (PPAR\u03b4) agonist, a Farnesoid X receptor (FXR) agonist, an acetyl-CoA carboxylase inhibitor, a peptide YY, cholecystokinin (CCK), xenin, glicentin, obestatin, secretin, nesfatin, insulin, and a glucose-dependent insulinotropic peptide (GIP).

Metadata:
- Claim Count in Document: 29.0
- Percentile: 98.0
- Lexical Diversity: 1.48148
- Patent Class: 514.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15740668', '13810999', '16024014', '15313501', '15086499']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8297157502837479
- 35 USC 102 Novelty (BERT): 0.6787291689898963
- Combined Prediction Score: 0.8146170921543627
- Mean Citation Score: 452.842674
- Max Citation Score: 747.8688
- Similarity Product: 659.3510169937132

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

Dataset: test