PATENT CLAIM ANALYSIS

Application Number: 16090385
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["514", "326000"]

Abstract:
The present invention relates to piperidinylalkylamide derivatives having dual pharmacological activity towards both the sigma (σ) receptor and the μ-opioid receptor, to processes of preparation of such compounds, to pharmaceutical compositions comprising them, and to their use in therapy, in particular for the treatment of pain.

Claim (Index 31):
A process for the preparation of compound the compound of Formula (I) according to  claim 13 which process comprises acylation of a compound of formula IVb wherein P represents the following moiety with a compound of formula VIa or a compound formula VIb wherein Z represents a suitable leaving group, including a halogen or an ethoxy or methoxy group, or which process comprises alkylation of a compound of Formula VIII, with a compound of formula IXa, wherein L is a suitable leaving group, including a halogen, mesylate, tosylate or triflate, or which process comprises a reductive amination reaction between a compound of formula VIII, and a compound of formula IXb, Or, in the case wherein formula I is triazole,\n which process comprises reaction of the compound XIb \n wherein P represents a moiety Y with an azide derivative of formula XII wherein X, R 1 , R 2 , R 3 , n and m, unless defined otherwise, are as defined in  claim 13 .

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 1.325
- Patent Class: 514.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16090403', '15746877', '15747220', '15531810', '15571352']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8110069329017382
- 35 USC 102 Novelty (BERT): 0.5769822675263815
- Combined Prediction Score: 0.7876044663642026
- Mean Citation Score: 445.959034
- Max Citation Score: 473.35364
- Similarity Product: 383.857774098556

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

Dataset: test