PATENT CLAIM ANALYSIS

Application Number: 15989532
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["424", "136100"]

Abstract:
Bispecific EGFR/c-Met antibodies and methods of making and using the molecules.

Claim (Index 1):
An isolated bispecific epidermal growth factor receptor (EGFR)/hepatocyte growth factor receptor (c-Met) antibody, comprising:\n a) a first heavy chain (HC1) comprising a HC1 constant domain 3 (HC1 CH3) and a HC1 variable region 1 (VH1); b) a first light chain (LC1) comprising a light chain variable region 1 (VL1); c) a second heavy chain (HC2) comprising a HC2 constant domain 3 (HC2 CH3) and a HC2 variable region 2 (VH2); and d) a second light chain (LC2) comprising a light chain variable region 2 (VL2), wherein the VH1 comprises a heavy chain complementarity determining region 1 (HCDR1), a HCDR2 and a HCDR3 amino acid sequences of SEQ ID NOs: 210, 211 and 212, respectively; the VL1 comprises a light chain complementarity determining region 1 (LCDR1), a LCDR2 and a LCDR3 amino acid sequences of SEQ ID NOs: 213, 214 and 215, respectively, the VH2 comprises the HCDR1, the HCDR2 and the HCDR3 amino acid sequences of SEQ ID NOs: 216, 217 and 218, respectively; and the VL2 comprises the LCDR1, the LCDR2 and the LCDR3 amino acid sequences of SEQ ID NOs: 219, 220 and 221, respectively.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 93.0
- Lexical Diversity: 1.09091
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14283257', '15386195', '14086588', '14086250', '14085340']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8383039963616998
- 35 USC 102 Novelty (BERT): 0.7348739471759549
- Combined Prediction Score: 0.8279609914431253
- Mean Citation Score: 723.874022
- Max Citation Score: 927.17365
- Similarity Product: 813.344419868812

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