PATENT CLAIM ANALYSIS

Application Number: 15937809
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["514", "021300"]

Abstract:
The present disclosure relates to compositions and methods comprising peptide molecules that mimic the binding and functional properties of native antibodies relative to their respective targets. Some embodiments comprise peptide-drug conjugates (PDCs) comprising the mimic peptides disclosed herein. The targets of these mimic peptides include epidermal growth factor receptor (EGFR), and human epidermal growth factor receptor 2 (HER2), vascular endothelial growth factor (VEGF), programmed cell death protein 1 (PD-1), and programmed death-ligand 1 (PD-L1). The present disclosure comprises application of the knob-socket computational model to design antibody mimics for proteins.

Claim (Index 1):
An isolated antibody mimic peptide comprising at least one of a motif sequence WX1EX2PX3FYX4YX5A (SEQ ID NO: 78) or the reverse of said motif sequence, said motif sequence having N amino acids, wherein the length of said motif sequence ranges from 7 to 25 amino acids; wherein P is at amino acid position N/2 of the motif sequence or next thereto; wherein each of X1, X2, X3, X4, and X5 is any of 0 to 8 amino acids, and wherein the FY in the motif sequence can be replaced with YW, YL, YI, YV, YF, WY, LY, IY, VY, YY, TYY, TYW, TYL, TYI, TYV, TYF, TWY, TLY, TIY, TVY, or TFY.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.61765
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14882436', '13764762', '15302018', '14453586', '15350801']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7489489655945121
- 35 USC 102 Novelty (BERT): 0.5698686184508119
- Combined Prediction Score: 0.7310409308801421
- Mean Citation Score: 311.333796
- Max Citation Score: 530.2253400000002
- Similarity Product: 337.2364831803347

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test