PATENT CLAIM ANALYSIS

Application Number: 15965613
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["436", "086000"]

Abstract:
A method for identifying a polypeptide a specimen can include (i) treating a specimen suspected of including an insulin with a base; (ii) extracting a first fraction of the treated specimen by solid phase extraction using a mixed mode or polymeric reversed-phase media and a first solvent including an acid; (iii) separating a component of the first fraction by liquid chromatography using a chromatographic surface including a hydrophobic surface group and one or more ionizable modifiers, and a second solvent including an acid; and (iv) analyzing the component of the first fraction by mass spectroscopy, thereby identifying the polypeptide, if present, using a signal corresponding to a sequence fragment ion from the polypeptide. The signal can correspond to an intact multiply charged precursor fragment selected in a first quadrupole and its corresponding sequence fragment ion selected in a final quadrupole.

Claim (Index 49):
The method of  claim 42 , wherein the first polypeptide and the second polypeptide are each independently exenatide, hepcidin, teriparatide, enfuvirtide, calcitonin, brain natriuretic peptide (BNP), amyloid beta peptides, GLP-1, glucagon, bombesin, or a derivative or analog thereof.

Metadata:
- Claim Count in Document: 83.0
- Percentile: 91.0
- Lexical Diversity: 1.91463
- Patent Class: 436.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15447838', '14394952', '13750511', '15059247', '12989827']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7259321243714325
- 35 USC 102 Novelty (BERT): 0.6641805825713364
- Combined Prediction Score: 0.7197569701914229
- Mean Citation Score: 417.09868000000006
- Max Citation Score: 706.0735
- Similarity Product: 650.6333242428899

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