PATENT CLAIM ANALYSIS

Application Number: 15756043
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["424", "133100"]

Abstract:
The present disclosure is generally directed to compositions that include antibodies, e.g., monoclonal, chimeric, humanized antibodies, antibody fragments, etc., that specifically bind on or more epitopes within a Siglec-7 protein, e.g., human Siglec-7 or a mammalian Siglec-7, and use of such compositions in preventing, reducing risk, or treating an individual in need thereof.

Claim (Index 102):
The method of  claim 100  or  claim 101 , wherein the at least one antibody that specifically binds to an inhibitory checkpoint molecule is selected from the group consisting of an anti-PD-L1 antibody, an anti-CTLA4 antibody, an anti-PD-L2 antibody, an anti-PD-1 antibody, an anti-B7-H3 antibody, an anti-B7-H4 antibody, and anti-HVEM antibody, an anti-B- and T-lymphocyte attenuator (BTLA) antibody, an anti-Killer inhibitory receptor (KIR) antibody, an anti-GAL9 antibody, an anti-TIM3 antibody, an anti-A2AR antibody, an anti-LAG-3 antibody, an anti-phosphatidylserine antibody, an anti-CD27 antibody, an anti-TNFa antibody, an anti-CD33 antibody, an anti-Siglec-5 antibody, an anti-Siglec-9 antibody, an anti-Siglec-11 antibody, an antagonistic anti-TREM1 antibody, an antagonistic anti-TREM2 antibody, and any combination thereof.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 88.0
- Lexical Diversity: 1.46667
- Patent Class: 424.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14565370', '14021777', '15222849', '15182327', '15222848']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7939186464227966
- 35 USC 102 Novelty (BERT): 0.5822910353968734
- Combined Prediction Score: 0.7727558853202043
- Mean Citation Score: 461.736258
- Max Citation Score: 500.8059
- Similarity Product: 359.23257837553024

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