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 23):
The method according to  claim 22 , wherein said detector comprises at least one compound selectively binding to the sensory receptor and/or comprises at least one compound selectively altering the expression of the sensory receptor and/or of the polypeptide involved in cell signaling of a sensory receptor, preferably wherein said compound is labeled, in particular fluorescently labeled, labeled by a contrast agent, spin-labeled and/or radioactively labeled, in particular wherein said compound:\n (i) is an interfering RNA, in particular small interfering ribonucleic acid (siRNA) or small hairpin RNA (shRNA), complementary to the messenger ribonucleic acid (mRNA) encoding for the sensory receptor, (ii) is or comprises one or more amino acid moieties; and/or a polypeptide strand, such as a peptide or protein, preferably an antibody or a fragment thereof, selectively binding to the sensory receptor, (iii) is or comprises a small molecule having a molecular weight of not more than 500 Da, selectively binding to the sensory receptor, or (iv) is or comprises one or more types(s) of high molecular weight compounds having a molecular weight higher that 500 Da.

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): 0.674395542559017
- 35 USC 102 Novelty (BERT): 0.6139217147662973
- Combined Prediction Score: 0.6683481597797452
- Mean Citation Score: 353.8247340000001
- Max Citation Score: 727.0481599999997
- Similarity Product: 495.1668984310245

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