PATENT CLAIM ANALYSIS

Application Number: 15777340
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["424", "134100"]

Abstract:
The disclosure provides fusion polypeptides comprising a moiety specific for Ang-2 and another for VEGF-A, which fusion polypeptide can be useful for antagonizing Ang-2 and VEGF-A. In a preferred embodiment, the Ang-2-specific moiety is comprised of a human neutrophil gelatinase associated lipocalin (hNGAL) mutein. Such fusion polypeptide can be used in many pharmaceutical applications, for example, as an agent useful to inhibit or reduce angiogenesis. The present disclosure also concerns methods of making the fusion polypeptides described herein as well as compositions comprising such fusion polypeptides. The present disclosure further relates to nucleic acid molecules encoding such fusion polypeptides, their amino acid sequences and to methods for the generation of such fusion polypeptides and nucleic acid molecules. In addition, the application discloses therapeutic and/or diagnostic uses of such fusion polypeptide as well as compositions comprising one or more of such fusion polypeptides.

Claim (Index 10):
The fusion polypeptide of  claim 1 , wherein said mutein comprises one or more mutated amino acid residues at positions 36, 40, 41, 49, 52, 68, 70, 72-73, 77, 79, 81, 96, 100, 103, 106, 125, 127, 132 and 134 of the linear polypeptide sequence of mature hNGAL (SEQ ID NO: 1).

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.87952
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15546609', '15371698', '13885229', '13816808', '15575271']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8486588159112253
- 35 USC 102 Novelty (BERT): 0.7135872720663462
- Combined Prediction Score: 0.8351516615267374
- Mean Citation Score: 700.28126
- Max Citation Score: 837.4807
- Similarity Product: 742.2160883229255

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