PATENT CLAIM ANALYSIS

Application Number: 15744278
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["424", "134100"]

Abstract:
Disclosed is a fusion polypeptide for inhibiting neovascularization, including a peptide specifically binding to vascular endothelial growth factor (VEGF) receptors, and a hydrophilic elastin-based polypeptide (hydrophilic EBP) linked to the peptide.

Claim (Index 7):
The fusion polypeptide according to  claim 1 , wherein the fusion polypeptide further comprises a hydrophobic elastin-based polypeptide (hydrophobic EBP) linked to the hydrophilic EBP, and\n the hydrophobic EBP is consisted of an amino acid sequence represented by Formula 1 or 2 below: Formula\u20031 [SEQ\u2003ID\u2003NO.\u20031]n; or   Formula\u20032 [SEQ\u2003ID\u2003NO.\u20032]n,\u2003wherein   SEQ\u2003ID\u2003NO.\u20031\u2003is\u2003consisted\u2003of [VPGXG\u2003VPGXG\u2003VPGXG\u2003VPGXG\u2003VPGXG\u2003VPGXG];   SEQ\u2003ID\u2003NO.\u20032\u2003is\u2003consisted\u2003of [VPAXG\u2003VPAXG\u2003VPAXG\u2003VPAXG\u2003VPAXG\u2003VPAXG]; n is an integer of 1 or more, and represents the number of repeats of SEQ ID NO. 1 or SEQ ID NO.2; and X is an amino acid other than proline, is selected from any natural or artificial amino acids when the pentapeptide VPGXG or VPAXG is repeated, and at least one of X is a hydrophobic or aliphatic amino acid.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 86.0
- Lexical Diversity: 1.31034
- Patent Class: 424.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14917460', '14740194', '12789215', '14740158', '14442376']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7370393243877644
- 35 USC 102 Novelty (BERT): 0.5215020342575643
- Combined Prediction Score: 0.7154855953747444
- Mean Citation Score: 259.111848
- Max Citation Score: 305.7306
- Similarity Product: 221.2050224342108

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