PATENT CLAIM ANALYSIS

Application Number: 16049141
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["536", "023530"]

Abstract:
Compositions and methods for inhibiting thrombosis without compromising hemostasis are described. Compositions include anti-factor XI monoclonal antibodies (aXIMabs) capable of binding to an epitope on the heavy chain of human FXI, particularly the A3 domain of the heavy chain of human FXI. Compositions also include epitope-binding fragments, variants, and derivatives of the monoclonal antibodies, cell lines producing these antibody compositions, and isolated nucleic acid molecules encoding the amino acid sequences of the antibodies. The disclosure further includes pharmaceutical compositions comprising the disclosed anti-factor XI monoclonal antibodies, or epitope-binding fragments, variants, or derivatives thereof, in a pharmaceutically acceptable carrier. Methods of the disclosure include administering the compositions described above to a subject in need thereof for the purpose of inhibiting thrombosis, reducing a required dose of an antithrombotic agent in the treatment of thrombosis, treating metastatic cancer, or treating an acute inflammatory reaction.

Claim (Index 10):
The method of  claim 1 , wherein the amino acid sequence of the V L  domain comprises SEQ ID NO: 5 or SEQ ID NO: 9.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 1.87209
- Patent Class: 536.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12744037', '14242692', '14809551', '13446320', '16335133']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7506937731389342
- 35 USC 102 Novelty (BERT): 0.6231799603771404
- Combined Prediction Score: 0.7379423918627548
- Mean Citation Score: 618.237226
- Max Citation Score: 664.5892299999998
- Similarity Product: 503.13672921650993

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

Dataset: test