PATENT CLAIM ANALYSIS

Application Number: 15961497
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["548", "131000"]

Abstract:
The invention provides compounds, compositions, and methods for the treatment of diseases, disorders, or conditions that are modulated by matrix metalloproteinases (MMPs). The compounds can be selective MMP inhibitors, for example, selective inhibitors of MMP-2, MMP-9, and/or MMP-14. The disease, disorder, or condition can include, for example, stroke, neurological disorders, ophthalmological disorders, or wounds, such as chronic wounds or diabetic wounds.

Claim (Index 1):
A compound of Formula I: wherein R 1  is \u2014CH 2 \u2014NHR a  wherein R a  is H or (C 2 -C 4 )alkanoyl; \u2014NH\u2014C(\u2550NH)\u2014NH 2 ; or J is S or O; G, T, and Q are each independently H, (C 1 -C 4 )alkyl, or \u2014CN; each R 2  is independently H, OH, (C 1 -C 6 )alkyl, (C 1 -C 6 )alkoxy, (C 2 -C 4 )alkanoyl, (C 2 -C 6 )alkanoyloxy, aryl, heteroaryl, carboxy, cyano, nitro, halo, trifluoromethyl, trifluoromethoxy, SR z , SO 2 N(R z ) 2 , NR z R z , or COOR z ; wherein each R z  is independently H, (C 1 -C 6 )alkyl, (C 2 -C 4 )alkanoyl, (C 6 -C 10 )aroyl, aryl, aryl(C 1 -C 6 )alkyl, heteroaryl, heteroaryl(C 1 -C 6 )alkyl, or optionally a nitrogen protecting group when R z  is covalently bonded to a nitrogen atom; and each n is independently 0, 1, 2, 3, or 4; or a salt thereof.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 91.0
- Lexical Diversity: 1.70833
- Patent Class: 548.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15120508', '15469010', '15512148', '14567480', '15139055']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7892967530435704
- 35 USC 102 Novelty (BERT): 0.6364755802027198
- Combined Prediction Score: 0.7740146357594854
- Mean Citation Score: 435.56533600000006
- Max Citation Score: 581.97095
- Similarity Product: 571.5774024765849

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

Dataset: test