PATENT CLAIM ANALYSIS

Application Number: 15956052
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["435", "006100"]

Abstract:
The present invention describes an association between genetic polymorphisms in the ceramide kinase-like (CERKL) gene and a predisposition to prolongation of the QT interval, and provides related methods for the prediction of such a predisposition, the administration of QT interval-prolonging compounds to individuals having such a predisposition, and determining whether a compound is capable of inducing QT prolongation.

Claim (Index 7):
A method comprising:\n characterizing, or having characterized, from a biological specimen obtained from a human individual an expression product of the individual's ceramide kinase-like (CERKL) gene; in the case that the characterized expression product is not associated with an increased risk of QT prolongation, administering to the individual a quantity of iloperidone, an iloperidone metabolite, or a pharmaceutically-acceptable salt thereof; and in the case that the characterized expression product is associated with an increased risk of QT prolongation, administering to the individual a compound not known to be associated with QT prolongation, wherein the characterized expression product not associated with an increased risk of QT prolongation corresponds to an AG genotype at the rs993648 single nucleotide polymorphism (SNP) locus; and wherein the characterized expression product associated with an increased risk of QT prolongation corresponds to a non-AG genotype at the rs993648 single nucleotide polymorphism (SNP) locus.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 91.0
- Lexical Diversity: 1.45455
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12593419', '14632914', '13263074', '15705054', '15705071']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6519440246877726
- 35 USC 102 Novelty (BERT): 0.5972493293502347
- Combined Prediction Score: 0.6464745551540187
- Mean Citation Score: 491.280534
- Max Citation Score: 562.39215
- Similarity Product: 439.0649641304077

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