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 29):
The method according to  claim 27 , wherein step (ii) of (b) comprises contacting the cell with at least one antagonist of the at least one sensory receptor and/or of the at least one polypeptide involved in cell signaling of a sensory receptor, in particular wherein said antagonist is (a) an antibody selectively binding to the at least one sensory receptor, or with a fragment thereof binding the at least one sensory receptor; or (b) interfering RNA, and determining the excretion of one or more interferon(s) (IFN), one or more interleukin(s) (IL) and/or one or more tumor necrosis factor(s) (TNF).

Metadata:
- Claim Count in Document: 53.0
- Percentile: 94.0
- Lexical Diversity: 2.01852
- Patent Class: 436.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14914585', '13819940', '13126039', '13321812', '15981142']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6822377613130534
- 35 USC 102 Novelty (BERT): 0.5900171785904625
- Combined Prediction Score: 0.6730157030407943
- Mean Citation Score: 353.8247340000001
- Max Citation Score: 727.0481599999997
- Similarity Product: 429.4262014861297

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