PATENT CLAIM ANALYSIS

Application Number: 16009647
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["435", "007920"]

Abstract:
The present invention relates to a method for diagnosing a disease comprising the step detecting in a sample comprising antibodies from a patient an autoantibody binding to a polypeptide selected from the group comprising NSF, STX1B, DNM1 and VAMP2, a polypeptide comprising a polypeptide selected from the group comprising NSF, STX1B, DNM1 and VAMP2, or a variant thereof, a use of said polypeptide for the diagnosis of a disease, an autoantibody binding to a polypeptide selected from the group comprising NSF, STX1B, DNM1 and VAMP2, a use of the autoantibody for the diagnosis of a disease, a method for isolating an autoantibody binding to a polypeptide selected from the group comprising NSF, STX1B, DNM1 and VAMP2, a pharmaceutical composition or medical device comprising said polypeptide according to the present invention, a kit for the diagnosis of a disease comprising said polypeptide or said medical device and a use of said polypeptide or autoantibody for the manufacture of a kit or medical device.

Claim (Index 11):
The method of  claim 7 , wherein step a) comprises a step selected from the group consisting of immunodiffusion techniques, immunoelectrophoretic techniques, light scattering immunoassays, agglutination techniques, labeled immunoassays such as those from the group consisting of radiolabeled immunoassay, enzyme immunoassays, more preferably ELISA, chemiluminscence immunoassays, and immunofluorescence, preferably indirect immunofluorescence.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 94.0
- Lexical Diversity: 3.80851
- Patent Class: 435.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15954019', '15172450', '15046950', '14122318', '13988269']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6400070236137946
- 35 USC 102 Novelty (BERT): 0.5605727068092103
- Combined Prediction Score: 0.6320635919333362
- Mean Citation Score: 317.2510200000001
- Max Citation Score: 486.32635
- Similarity Product: 300.12219430340525

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