PATENT CLAIM ANALYSIS

Application Number: 15953141
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["424", "094600"]

Abstract:
The present invention relates to an artificially manipulated neovascularization-associated factor for regulating neovascularization and a use thereof. More particularly, the present invention relates to a system for artificially regulating neovascularization, which includes an artificially manipulated neovascularization-associated factor for regulating neovascularization and/or a composition for artificially manipulating the neovascularization-associated factor. In a specific aspect, a neovascularization regulatory system including a neovascularization-associated factor such as artificially manipulated VEGFA, HIF1A, ANGPT2, EPAS1, or ANGPTL4 and/or an expression product thereof is provided.

Claim (Index 5):
The composition for gene manipulation of  claim 4 , wherein the PAM sequence includes one or more of the following sequences (described in the 5\u2032 to 3\u2032 direction):\n NGG (N is A, T, C or G); \n NNNNRYAC (each N is independently A, T, C or G, R is A or G, and Y is C or T); \n NNAGAAW (each N is independently A, T, C or G, and W is A or T); \n NNNNGATT (each N is independently A, T, C or G); \n NNGRR(T) (each N is independently A, T, C or G, R is A or G, and Y is C or T); and \n TTN (N is A, T, C or G).

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 1.95556
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15415431', '15935334', '15360627', '14213479', '15060448']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7126672363895835
- 35 USC 102 Novelty (BERT): 0.526587352038482
- Combined Prediction Score: 0.6940592479544734
- Mean Citation Score: 310.590658
- Max Citation Score: 324.7946
- Similarity Product: 201.42604640645985

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

Dataset: test