PATENT CLAIM ANALYSIS

Application Number: 16061676
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["546", "144000"]

Abstract:
The present invention relates to a benzopiperidine derivative, a preparation method thereof and a medical use thereof. In particular, the present invention relates to a benzopiperidine derivative as shown by general formula (I), a preparation method thereof and a pharmaceutical composition containing the derivative, as well as a use thereof as an estrogen receptor modulator in the prevention and/or treatment of estrogen receptor-mediated or dependent diseases or conditions. Preferably, the disease is breast cancer. The substituents in the general formula (I) are the same as those defined in the description.

Claim (Index 15):
A process for preparing a compound of formula (I) or a tautomer, mesomer, racemate, enantiomer, diastereomer, or mixture thereof, or a pharmaceutically acceptable salt thereof according to  claim 1 , comprising: hydrolyzing a compound of formula (IV) under an alkaline condition to obtain the compound of formula (I); wherein: R is alkyl or cycloalkyl, wherein the alkyl and cycloalkyl are each optionally substituted by one or more groups selected from the group consisting of alkyl, halogen, amino, cyano, hydroxy, alkoxy, carboxy and cycloalkyl; and ring A, ring B, R 1  to R 6 , m, n, x and y are as defined in  claim 1 .

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 1.83929
- Patent Class: 546.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15736898', '15766985', '14365497', '16328128', '15030125']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8204281545556054
- 35 USC 102 Novelty (BERT): 0.6252608772272039
- Combined Prediction Score: 0.8009114268227653
- Mean Citation Score: 556.1856100000001
- Max Citation Score: 585.0706
- Similarity Product: 538.1386869019747

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