PATENT CLAIM ANALYSIS

Application Number: 16020688
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["514", "267000"]

Abstract:
The present invention provides, inter alia, compounds capable of inhibiting NF-κB. Pharmaceutical compositions containing and methods of using the compounds are also provided herein. Also provided are methods and kits for treating cancer and solid tumors in a subject, as well as methods and kits for inducing cancer cell death and apoptosis of a cancer cell, all utilizing the NF-κB inhibitors described herein.

Claim (Index 49):
The method according to  claim 48 , wherein the cancer cell is selected from the group consisting of esophageal cancer cell, stomach cancer cell, small intestinal cancer cell, colon cancer cell, rectal cancer cell, anal cancer cell, liver cancer cell, intrahepatic bile duct cancer cell, gallbladder cancer cell, pancreatic cancer cell, larynx cancer cell, lung cancer cell, bronchus cancer cell, bone cancer cell, skin cancer cell, melanoma cell, breast cancer cell, uterine cervix cancer cell, uterine corpus cancer cell, ovarian cancer cell, vulva cancer cell, vaginal cancer cell, prostate cancer cell, testis cancer cell, urinary bladder cancer cell, kidney cancer cell, brain cancer cell, nervous system cancer cell, thyroid cancer cell, and thymus cancer cell.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 94.0
- Lexical Diversity: 1.59091
- Patent Class: 514.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15393507', '12604970', '14032739', '13035640', '14088804']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.813494340860721
- 35 USC 102 Novelty (BERT): 0.5619793071272899
- Combined Prediction Score: 0.788342837487378
- Mean Citation Score: 335.78576400000014
- Max Citation Score: 451.7303
- Similarity Product: 368.23491091977365

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