PATENT CLAIM ANALYSIS

Application Number: 16181088
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["424", "136100"]

Abstract:
The present invention is in the fields of biochemistry, molecular biology, and Alzheimer's disease diagnosis, prevention, and treatment. Provided herein are humanized antibodies against human tau that are capable of discriminating between normal (healthy) and pathological (disease-associated) tau.

Claim (Index 180):
A composition comprising a humanized anti-tau antibody, or a tau-binding fragment thereof, and a second therapeutic agent,\n wherein the antibody or binding fragment comprises: a heavy chain variable region comprising CDR-H1, CDR-H2, and CDR-H3 of SEQ ID NOs. 1, 2, and 3, respectively, and a framework from human immunoglobulin M65092 (SEQ ID NO. 71); a light chain variable region comprising CDR-L1, CDR-L2, and CDR-L3 of SEQ ID NOs. 4, 5, and 6, respectively, and a framework from human immunoglobulin X72449 (SEQ ID NO. 65); and heavy chain and light chain constant regions each from a human immunoglobulin; wherein said heavy chain framework has been substituted at one or more positions selected from 9, 21, 27, 28, 30, 38, 48, 67, 68, 70, and 95; said light chain framework has either not been substituted or has been substituted at position 5; and wherein said positions are according to Kabat.

Metadata:
- Claim Count in Document: 79.0
- Percentile: 98.0
- Lexical Diversity: 1.28947
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15528333', '15342629', '15599685', '15906773', '15207836']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7237299891785531
- 35 USC 102 Novelty (BERT): 0.7183969117180821
- Combined Prediction Score: 0.723196681432506
- Mean Citation Score: 506.236552
- Max Citation Score: 786.5726
- Similarity Product: 764.5464128149033

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