PATENT CLAIM ANALYSIS

Application Number: 16026722
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["536", "023100"]

Abstract:
Disclosed herein are methods and compositions for inactivating CCR-5 genes, using zinc finger nucleases (ZFNs) comprising a zinc finger protein and a cleavage domain or cleavage half-domain. Polynucleotides encoding ZFNs, vectors comprising polynucleotides encoding ZFNs, such as adenovirus (Ad) vectors, and cells comprising polynucleotides encoding ZFNs and/or cells comprising ZFNs are also provided.

Claim (Index 1):
A population of T cells or hematopoietic stem cells comprising\n (a) a nuclease comprising a DNA-binding domain that binds to a target site in an endogenous CCR5 gene, wherein the DNA-binding domain comprises four zinc finger recognition regions ordered F1 to F4 from N-terminus to C-terminus, and further wherein the zinc finger DNA-binding domains comprise recognition regions selected from the group consisting of: (i) F1: DRSNLSR (SEQ ID NO:2);\n F2: ISSNLNS (SEQ ID NO:5); \n F3: RSDNLAR (SEQ ID NO:4); and \n F4: TSANLSR (SEQ ID NO:3) or F4: NRDNLSR (SEQ ID NO:7) \n (ii) F1: DRSNLSR (SEQ ID NO:2);\n F2: TSGNLTR (SEQ ID NO:8); \n F3: RSDNLAR (SEQ ID NO:4); and \n F4: TSGNLTR (SEQ ID NO:8); \n (iii) F1: RSDNLSV (SEQ ID NO:10);\n F2: QNANRIT (SEQ ID NO:11) or QRVNLIV (SEQ ID NO:15); \n F3: RSDVLSE (SEQ ID NO:12); and \n F4: QRNHRTT (SEQ ID NO:13); and \n (iv) F1: RSDNLSN (SEQ ID NO:14);\n F2: QNANRIT (SEQ ID NO:11); \n F3: RSDVLSE (SEQ ID NO:12); and \n F4: QRNHRTT (SEQ ID NO:13); and \n (b) a donor sequence comprising a transgene.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 95.0
- Lexical Diversity: 1.65789
- Patent Class: 536.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13068230', '14054042', '13068348', '11805707', '14495529']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7717521541939768
- 35 USC 102 Novelty (BERT): 0.660127465162692
- Combined Prediction Score: 0.7605896852908484
- Mean Citation Score: 668.0100100000002
- Max Citation Score: 711.7239
- Similarity Product: 635.1407302115679

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

Dataset: test