PATENT CLAIM ANALYSIS

Application Number: 15954450
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["800", "018000"]

Abstract:
Genetically modified non-human animals expressing human SIRPα and human IL-15 from the non-human animal genome are provided. Also provided are methods for making non-human animals expressing human SIRPα and human IL-15 from the non-human animal genome, and methods for using non-human animals expressing human SIRPα and human IL-15 from the non-human animal genome. These animals and methods find many uses in the art, including, for example, in modeling human T cell and/or natural killer (NK) cell development and function, in modeling human pathogen infection of human T cells and/or NK cells, and in various in vivo screens.

Claim (Index 83):
The method according to  claim 82 , wherein the pathogen is selected from:  Streptococcus pyogenes, Haemophilus influenza, Corynebacterium diphtheria , SARS coronavirus,  Bordetella pertussis, Moraxella catarrhalis , Influenza virus (A, B, C), Coronavirus, Adenovirus, Respiratory Syncytial Virus, Parainfluenza virus, Mumps virus,  Streptococcus pneumoniae, Staphylococcus aureus, Legionella pneumophila, Klebsiella pneumoniae, Pseudomonas aeruginosa, Mycoplasma pneumonia, Mycobacterium tuberculosis, Chlamydia Pneumoniae, Blastomyces dermatitidis, Cryptococcus neoformans , and  Aspergillus fumigatus.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 91.0
- Lexical Diversity: 2.25
- Patent Class: 800.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15097239', '14715446', '14420318', '15263916', '15866632']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6731277331828552
- 35 USC 102 Novelty (BERT): 0.5904632743977577
- Combined Prediction Score: 0.6648612873043455
- Mean Citation Score: 497.971382
- Max Citation Score: 735.2370599999997
- Similarity Product: 433.1491459074746

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