PATENT CLAIM ANALYSIS

Application Number: 15761725
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["514", "017800"]

Abstract:
The present invention relates to an agent which inhibits Kallikrein-8 for use in the treatment or prevention of Alzheimer's disease and/or its precursor stages, as well as to methods, kits and uses relating thereto, including diagnostic tools.

Claim (Index 3):
The agent for use according to  claim 2 , which specifically binds to Kallikrein-8 and inhibits the proteolytic activity of Kallikrein-8, wherein the agent is a Kallikrein-8 enzyme inhibitor, preferably selected from a small molecule, a ribozyme, a peptide and a protein,\n preferably (a) wherein the agent is a protein, more preferably an antibody or functionally active part thereof or an antibody mimetic, even more preferably the agent is selected from a monoclonal antibody, chimeric antibody, human antibody, humanized antibody, Fab, a Fab\u2032, a F(ab\u2032)2, a Fv, a disulfide-linked Fv, a scFv, a (scFv)2, a bivalent antibody, a bispecific antibody, a multispecific antibody, a diabody, a triabody, a tetrabody and a minibody, and/or (b) wherein the agent is monoclonal antibody MabB5 or functionally active part thereof, or an agent, in particular selected from an antibody or functionally active part thereof and an antibody mimetic, binding to the same epitope as MabB5.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 90.0
- Lexical Diversity: 1.10526
- Patent Class: 514.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12157664', '13393220', '14324289', '13701758', '11185907']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7778633358796582
- 35 USC 102 Novelty (BERT): 0.5237599969379972
- Combined Prediction Score: 0.752453001985492
- Mean Citation Score: 308.592442
- Max Citation Score: 328.3323
- Similarity Product: 241.44514946064945

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test