PATENT CLAIM ANALYSIS

Application Number: 15981979
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["514", "284000"]

Abstract:
A derivative of isocorydine of formula I: wherein: R 1 ═   X═N, C, C═C; n 1 =0, 1    R 2 ═H, R 1  Y═C, N R 3 ═H, Cl, Br, F, CF 3 , OCH 3 , CH 3 ,   Z ═H, Cl, F, N; n 2 =0, 1  R 4 ═NH 2 , CH 2 NH 2 , NHCO(CH 2 ) n3 CH 3 , CH 2 NHCO(CH 2 ) n3 CH 3 , n 3 =0, 1, 2.   This derivative is prepared by amidation condensation reaction between an amino group of NICD and a carbonyl group of an aryl isocyanate, a carboxylic acid, or an acid chloride, or symmetrical amidation condensation reaction between an NICD and an aromatic amino group by solid phosgene. This derivative has anti-cancer activity in vivo and in vitro, and may be used for preventing and treating cancer.

Claim (Index 9):
The method of  claim 4  comprising reacting NICD with the aryl isocyanate to form a ureido functional group, wherein an isocyanate is added to an organic solvent solution of NICD to perform a condensation reaction with stirring, the reaction solution is added to ice water after the reaction is complete, the solution is adjusted to be basic with an aqueous alkali solution, extraction is performed with dichloromethane, the solvent is recovered, and purification is conducted to obtain the derivative.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 2.28947
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13699869', '15762985', '12767647', '13379497', '14263886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7145217191904332
- 35 USC 102 Novelty (BERT): 0.5156753811723236
- Combined Prediction Score: 0.6946370853886222
- Mean Citation Score: 271.156108
- Max Citation Score: 283.43286
- Similarity Product: 208.1271529534293

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