PATENT CLAIM ANALYSIS

Application Number: 16066846
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["250", "282000"]

Abstract:
Methods and tools for determining the structure of biomacromolecules such as proteins in a sample using mass spectrometry. More particularly the methods allow determining the presence of a biomacromolecule of an organism in a sample by comparing an observed mass spectrum of the sample with a theoretical fragment ion spectrum comprising theoretical fragment ion masses.

Claim (Index 1):
A computer-implemented method for determining the presence of a biomacromolecule of an organism in a sample, said biomacromolecule being a protein or a nucleic acid, the method comprising:\n obtaining an observed mass spectrum of the sample from mass spectrometry instrumentation, thereby obtaining a set of query peaks; subtracting a mass-charge ratio m/z value of every query peak from theoretical fragment ion masses of a target proteome or genome of said organism obtained by determining theoretical fragment ion spectra comprising theoretical fragment ion masses for the protein or nucleic acid sequences of said target proteome or genome, respectively, to obtain differences; clustering and scoring the resulting differences, thereby obtaining scores representative of the likelyhood of the presence of a specific protein or gene in said sample; and respectively assigning the observed mass spectrum to a protein of said proteome, or to a gene of said genome, based on said scores, thereby identifying the presence of said protein or gene in said sample.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 94.0
- Lexical Diversity: 1.54054
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10624531', '14671199', '12988037', '13311022', '11048125']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7163250292899552
- 35 USC 102 Novelty (BERT): 0.4947000505895391
- Combined Prediction Score: 0.6941625314199137
- Mean Citation Score: 238.115254
- Max Citation Score: 242.91068
- Similarity Product: 172.15318818694593

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

Dataset: test