PATENT CLAIM ANALYSIS

Application Number: 16228084
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["424", "139100"]

Abstract:
Provided herein are various embodiments relating to antibodies that bind LILRB2. Anti-LILRB2 antibodies can be used in methods to treat disease, for example, cancer.

Claim (Index 1):
An antibody that specifically binds to human LILRB2, wherein the antibody comprises the following complementarity determining regions (CDRs): (a)\u2003a\u2003CDR-H1\u2003comprising\u2003the\u2003amino\u2003acid\u2003sequence\u2003of JY(J) 2 G(J) 2 \u2003(SEQ\u2003ID\u2003NO:\u2003171);   (b)\u2003a\u2003CDR-H2\u2003comprising\u2003the\u2003amino\u2003acid\u2003sequence\u2003of (J) 2 W(J) 11 KJ\u2003(SEQ\u2003ID\u2003NO:\u2003172);   (c)\u2003a\u2003CDR-H3\u2003comprising\u2003the\u2003amino\u2003acid\u2003sequence\u2003of (J) 2 I(J) 3 TDYV(J) 3 \u2003(SEQ\u2003ID\u2003NO:\u2003173);   (d)\u2003a\u2003CDR-L1\u2003comprising\u2003the\u2003amino\u2003acid\u2003sequence\u2003of (J) 8 DLJ\u2003(SEQ\u2003ID\u2003NO:\u2003174);   (e)\u2003a\u2003CDR-L2\u2003comprising\u2003the\u2003amino\u2003acid\u2003sequence\u2003of (J) 7 \u2003(SEQ\u2003ID\u2003NO:\u2003175); and   (f)\u2003a\u2003CDR-L3\u2003comprising\u2003the\u2003amino\u2003acid\u2003sequence\u2003of (J) 3 YJYPLJ\u2003(SEQ\u2003ID\u2003NO:\u2003176), wherein each J is independently a naturally occurring amino acid.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 98.0
- Lexical Diversity: 1.16667
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15696972', '15451275', '15545871', '15451280', '12906041']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7426641840978817
- 35 USC 102 Novelty (BERT): 0.5354383019809572
- Combined Prediction Score: 0.7219415958861892
- Mean Citation Score: 367.832702
- Max Citation Score: 375.92844
- Similarity Product: 274.17564389342306

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