PATENT CLAIM ANALYSIS

Application Number: 16064377
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["514", "654000"]

Abstract:
Metabolism-resistant fenfluramine analogs are provided. The subject fenfluramine analogs find use in the treatment of a variety of diseases. For example, methods of treating epilepsy by administering a fenfluramine analog to a subject in need thereof are provided. Also provided are methods of suppressing appetite in a subject in need thereof. Pharmaceutical compositions for use in practicing the subject methods are also provided.

Claim (Index 7):
A method of treating epilepsy or a neurological related disease, comprising administering to a patient in need thereof a therapeutically effective amount of a metabolism-resistant fenfluramine analog of formula (I): wherein: R 1 , R 2 , R 3 , R 4 , R 5 , R 6  and R 7  are independently selected from hydrogen, halogen, X 1 , X 2 , alkoxy, acyl, substituted acyl, carboxy, cyano, hydroxy, alkoxy, substituted alkoxy, alkyl, substituted alkyl, aryl, substituted aryl, heterocycle, heteroaryl, substituted heteroaryl, substituted heterocycle, or together with a second R 1 -R 7  group form a cycloalkyl ring, a heterocycle ring, an aryl ring or a heteroaryl ring that is optionally substituted wherein R 2  and R 5 , R 2  and R 4 , R 1  and R 5 , R 6  and R 7 , and/or R 3  and R 6  are cyclically linked; X 1 -X 5  are each independently H, D, F, alkyl or substituted alkyl; m is 0-4; and n is 1 or 2, wherein when n is 2 the nitrogen is positively charged; or a pharmaceutically acceptable salt thereof.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 1.86486
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15055403', '11033079', '12691607', '13718632', '11825395']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7388537063701311
- 35 USC 102 Novelty (BERT): 0.519939272834722
- Combined Prediction Score: 0.7169622630165903
- Mean Citation Score: 289.148744
- Max Citation Score: 297.5369
- Similarity Product: 213.29756820933807

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