PATENT CLAIM ANALYSIS

Application Number: 16024283
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["514", "649000"]

Abstract:
Highly efficient methods for synthesis of levomethadone hydrochloride or dextromethadone hydrochloride are provided starting from D-alanine, or L-alanine, respectively, with retention of configuration. Methods for treating a subject are provided comprising administering a composition comprising an effective amount of levomethadone hydrochloride having not more than 10 ppm dextromethadone.

Claim (Index 1):
A process for preparing levomethadone hydrochloride from N,N-dimethyl-D-alaninol or dextromethadone hydrochloride from N,N-dimethyl-L-alaninol, the process comprising:\n combining the N,N-dimethyl-D-alaninol or the N,N-dimethyl-L-alaninol with an activating reagent to form a R-activated intermediate or an S-activated intermediate, respectively; mixing the R- or S-activated intermediate and a base with diphenylacetonitrile to provide levomethadone nitrile or dextromethadone nitrile, respectively; and exposing the levomethadone nitrile or dextromethadone nitrile to a Grignard reagent of formula RMgX, where R is ethyl and X=Cl, Br, or I, to form a reaction mixture; and adding hydrochloric acid to the reaction mixture to provide levomethadone hydrochloride or dextromethadone hydrochloride, respectively.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 94.0
- Lexical Diversity: 1.39474
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15245935', '14190702', '13759382', '12530214', '14465470']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7295669353530634
- 35 USC 102 Novelty (BERT): 0.6595306101902703
- Combined Prediction Score: 0.722563302836784
- Mean Citation Score: 303.701184
- Max Citation Score: 774.36896
- Similarity Product: 592.1782641678237

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

Dataset: test