PATENT CLAIM ANALYSIS

Application Number: 15909314
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["530", "359000"]

Abstract:
Compositions and methods relating to ApoA-1 fusion polypeptides are disclosed. The fusion polypeptides include a first polypeptide segment corresponding to an ApoA-1 polypeptide or ApoA-1 mimetic, and may also include a dimerizing domain such as, e.g., an Fc region, which is typically linked carboxyl-terminal to the first polypeptide segment via a flexible linker. In some embodiments, the fusion polypeptide further includes a second polypeptide segment located carboxyl-terminal to the first polypeptide segment and which confers a second biological activity (e.g., an RNase, paraoxonase, platelet-activating factor acetylhydrolase, cholesterol ester transfer protein, lecithin-cholesterol acyltransferase, polypeptide that specifically binds to proprotein convertase subtilisin/kexin type 9, or polypeptide that specifically binds to amyloid beta). Also disclosed are dimeric proteins comprising first and second ApoA-1 fusion polypeptides as disclosed herein. The fusion polypeptides and dimeric proteins are useful in methods for therapy.

Claim (Index 23):
The fusion polypeptide of  claim 22 , wherein the paraoxonase has at least 95% identity with amino acid residues 16-355 of SEQ ID NO:12, amino acid residues 16-355 of SEQ ID NO:42, or amino acid residues 16-355 of SEQ ID NO:44.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 1.90244
- Patent Class: 530.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14380277', '13701234', '12541062', '13396147', '13438638']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6781677386208238
- 35 USC 102 Novelty (BERT): 0.5099602104683212
- Combined Prediction Score: 0.6613469858055735
- Mean Citation Score: 299.23927999999995
- Max Citation Score: 304.9176
- Similarity Product: 247.6720704753399

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