PATENT CLAIM ANALYSIS

Application Number: 16004077
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["436", "501000"]

Abstract:
The present invention relates to a compound selectively binding to a sensory receptor or selectively altering the expression of a sensory receptor for use in a method for treating or preventing a disease associated with a pathologic cellular cytotoxic T cell (CTL) response. Further, the invention relates to means for detecting a sensory receptor for use in a method for diagnosing cellular resistance against CTL response in a patient. The invention further embraces a method for determining the resistance of a cell against a CTL response in vitro and to a method for identifying agents that influence the response of cells to CTLs.

Claim (Index 16):
A method for treating or preventing a disease associated with a pathologic cellular cytotoxic T cell (CTL) response in a subject, preferably a disease selected from the group consisting of neoplasia, in particular cancer, an autoimmune disease, an infection and graft-versus-host disease, the method comprising the step of administering to the subject at least one compound selectively binding to at least one sensory receptor or selectively altering the expression or activity of a sensory receptor or selectively altering the expression or activity of a polypeptide involved in cell signaling of a sensory receptor.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 94.0
- Lexical Diversity: 2.01852
- Patent Class: 436.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14914585', '13819940', '13126039', '13321812', '15981142']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6429733129606494
- 35 USC 102 Novelty (BERT): 0.6254686460935898
- Combined Prediction Score: 0.6412228462739434
- Mean Citation Score: 353.8247340000001
- Max Citation Score: 727.0481599999997
- Similarity Product: 533.5014784581374

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