PATENT CLAIM ANALYSIS

Application Number: 16042284
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-08
Patent Classification: ["530", "333000"]

Abstract:
The embodiments herein disclose a method for synthesizing antagonistic peptide VEGF and bFGF. The method comprises synthesizing the antagonistic peptide for VEGF and bFGF and analyzing the purity of peptides. The quality of antagonistic peptide for VEGF and bFGF is analyzed by HPLC chromatogram and Mass spectrometry analysis. The biochemical activity of the antagonistic peptide for VEGF and bFGF is analyzed by competitive binding assay, cell proliferation assay, Matrigel assay for anti-angiogenic activity analysis, histopathological staining and Western blot analysis. The competitive binding assay of antagonistic peptide for VEGF and bFGF illustrate that peptides binds with cell receptors at a concentration of 2000 ng/ml. The cell proliferation assay illustrates that cell growth is arrested when antagonistic peptide for VEGF and bFGF are at a concentration of 2000 ng/ml. The anti-angiogenic activity analysis illustrates that angiogenesis is arrested when the concentration of antagonistic peptide for VEGF and bFGF is 2000 ng/ml.

Claim (Index 1):
A method for synthesizing antagonistic peptide for vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF), the method comprises the steps of:\n synthesizing the antagonistic peptide for vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) by a predetermined standard protocol; analyzing a purity of the antagonistic peptide for vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) by a predetermined standard protocol; and analyzing a plurality of physic-chemical qualities of the antagonistic peptide for vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) by a plurality of methods, and wherein the plurality of methods are HPLC chromatogram and Mass spectrometry analysis, and wherein cyclization of peptides in the antagonistic vascular endothelial growth factor (VEGF) peptide and basic fibroblast growth factor (bFGF) peptide is analyzed by a predetermined standard protocol, and wherein disulfide bond formation in the antagonistic peptide for vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) is analyzed by a predetermined standard protocol, and wherein the synthesized antagonistic peptide for vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) are annotated as Seq.ID No.1 peptide, Seq.ID No.2 peptide, Seq.ID No.3 peptide, Seq.ID No.4 peptide and Seq.ID No.5 peptide, and wherein the Seq.ID No.1 peptide, Seq.ID No.2 peptide, Seq.ID No.3 peptide are antagonists of both VEGF-A and VEGF-B, and wherein the Seq.ID No.1 peptide, Seq. ID No.2 peptide, Seq. ID No.3 peptide in combination act as antagonist for both VEGF-A and VEGF-B, and wherein the Seq. ID No.4 peptide is antagonist of VEGF-A, and wherein the Seq. ID No. 5 peptide is antagonist of bFGF, and wherein the biochemical activity of the antagonistic peptide for vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) is analyzed by competitive binding assay, cell proliferation assay, Matrigel assay for anti-angiogenic activity analysis, histopathological staining and Western blot analysis.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 95.0
- Lexical Diversity: 2.75862
- Patent Class: 530.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15222237', '10263162', '10046922', '13713594', '13662024']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6439723953477725
- 35 USC 102 Novelty (BERT): 0.5461073563720888
- Combined Prediction Score: 0.6341858914502041
- Mean Citation Score: 381.339348
- Max Citation Score: 398.11826
- Similarity Product: 248.57040814197185

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

Dataset: test