PATENT CLAIM ANALYSIS

Application Number: 15918136
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["424", "133100"]

Abstract:
This invention relates to methods employing IL-1 beta-ligand/IL-1 receptor disrupting compounds, such as IL-1 beta antibodies or IL-1 receptor antibodies, in the treatment and/or prevention of auto-inflammatory syndromes in mammals, particularly humans.

Claim (Index 4):
The method according to  claim 2 , wherein the IL-1beta antibody comprises an antigen binding site comprising at least one immunoglobulin V H  which comprises in sequence hypervariable regions CDR1, CDR2 and CDR3, said CDR1 having the amino acid sequence Val-Tyr-Gly-Met-Asn (SEQ ID NO:3), said CDR2 having the amino acid sequence Ile-Ile-Trp-Tyr-Asp-Gly-Asp-Asn-Gln-Tyr-Tyr-Ala-Asp-Ser-Val-Lys-Gly (SEQ ID NO:4), and said CDR3 having the amino acid sequence Asp-Leu-Arg-Thr-Gly-Pro (SEQ ID NO:5) and an antigen binding site comprising at least one immunoglobulin V L  which comprises in sequence hypervariable regions CDR1\u2032, CDR2\u2032 and CDR3\u2032, said CDR1\u2032 having the amino acid sequence Arg-Ala-Ser-Gln-Ser-Ile-Gly-Ser-Ser-Leu-His (SEQ ID NO:6) said CDR2\u2032 having the amino acid sequence Ala-Ser-Gln-Ser-Phe-Ser (SEQ ID NO:7) and said CDR3\u2032 having the amino acid sequence His-Gln-Ser-Ser-Ser-Leu-Pro (SEQ ID NO:8).

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.24138
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14810556', '12090490', '13283165', '13171631', '15359784']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7781682638740646
- 35 USC 102 Novelty (BERT): 0.6103971007237126
- Combined Prediction Score: 0.7613911475590295
- Mean Citation Score: 462.73160400000006
- Max Citation Score: 536.51483
- Similarity Product: 528.7032465058481

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