PATENT CLAIM ANALYSIS

Application Number: 15780046
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-08
Patent Classification: ["424", "133100"]

Abstract:
A novel antibody against VEGFR2 for use in the prevention or treatment of macular degeneration and cancer, which are angiogenesis-related diseases. The antibody of the present invention is an antibody which specifically binds to VEGFR2 which is overexpressed in vascular endothelial cells. The antibody of the present invention has very low homology compared to the CDR sequences of conventional VEGFR2 target antibodies, and thus is unique in its sequence. Since the antibody of the present invention, when treated alone, has the ability to inhibit vascular endothelial cell growth equivalent to that of ramucirumab which is conventionally used, it is very effective to prevent or treat angiogenesis-related diseases.

Claim (Index 14):
An antibody against vascular endothelial growth factor receptor 2 (VEGFR2) or an antigen binding fragment thereof, the antibody or antigen binding fragment thereof comprising:\n (a) a heavy chain variable region comprising the following heavy chain complementarity determining region (CDR) amino acid sequences: CDRH1 of SEQ ID NO: 1, CDRH2 of SEQ ID NO: 2, and CDRH3 of SEQ ID NO: 3; and (b) a light chain variable region comprising the following light chain CDR amino acid sequences: CDRL1 of SEQ ID NO: 4, CDRL2 of SEQ ID NO:5, and CDRL3 of SEQ ID NO: 6.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 93.0
- Lexical Diversity: 1.75758
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15563950', '13768005', '12267515', '15517778', '13225792']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7256392960853872
- 35 USC 102 Novelty (BERT): 0.5406532968083757
- Combined Prediction Score: 0.707140696157686
- Mean Citation Score: 346.214826
- Max Citation Score: 376.01364
- Similarity Product: 268.1652978014231

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