PATENT CLAIM ANALYSIS

Application Number: 16063515
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["424", "133100"]

Abstract:
The present invention provides an anti-Myl9 antibody or a Myl9 binding fragment thereof that binds to Myl9 and may inhibit the interaction between Myl9 and CD69 in humans, as well as a pharmaceutical composition comprising the same. A mouse anti-human/mouse Myl9 monoclonal antibody having binding affinity against Myl9 was obtained, and the sequence for the complementarity determining region (CDR) of said mouse anti-human/mouse Myl9 monoclonal antibody was identified. Accordingly, a humanized antibody comprising the CDR sequence of said mouse anti-human/mouse Myl9 monoclonal antibody in the variable region of heavy and light chains was produced.

Claim (Index 4):
The anti-Myl9 antibody or Myl9 binding fragment thereof according to  claim 1  that inhibits the interaction between Myl9 and CD69, wherein\n said antibody comprises a heavy chain and a light chain, \n the variable region of said heavy chain comprises a peptide represented by the amino acid sequence set forth in SEQ ID NOs. 55, 56, 57, 58, 59, 60, 61, 62, 63, or 64, and \n the variable region of said light chain comprises a peptide represented by the amino acid sequence set forth in SEQ ID NOs. 65, 66, 67, or 68.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 1.7
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14893122', '15667644', '15753611', '13143253', '14041479']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7704393277140523
- 35 USC 102 Novelty (BERT): 0.5699273840732674
- Combined Prediction Score: 0.7503881333499739
- Mean Citation Score: 424.29052800000005
- Max Citation Score: 484.71527
- Similarity Product: 332.6319109554028

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