PATENT CLAIM ANALYSIS

Application Number: 15993949
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-10
Patent Classification: ["436", "174000"]

Abstract:
Provided herein are methods and systems for proteome analysis that are at least partially automated and/or performed robotically. In some aspects, the methods and systems described herein can rapidly and efficiently provide protein identification of each of the proteins from a proteome, or a complement of proteins, obtained from extremely small amounts of biological samples. The identified proteins can be imaged quantitatively over a spatial region. Automation and robotics facilitates the throughput of the methods and systems, which enables protein imaging and/or rapid proteome analysis.

Claim (Index 1):
A method of proteome analysis comprising the steps of:\n extracting from one NanoPOTS reactor vessel on a NanoPOTS plate having a plurality of NanoPOTS reactor vessels, a processed sample comprising less than 500 ng of a complement of proteins, peptides related to the complement of proteins, or both in a liquid buffer solution; dispensing the processed sample into one well on a well plate having a plurality of wells, wherein the one well is pre-loaded with a volume of a liquid carrier buffer; diluting the processed sample, thereby yielding in the one well a diluted sample; transferring the diluted sample from the one well to a mass-spectrometry-based (MS-based) analytical instrument.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 93.0
- Lexical Diversity: 1.57627
- Patent Class: 436.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14125819', '11935048', '13257580', '13868387', '11915582']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6431315538724887
- 35 USC 102 Novelty (BERT): 0.4771000333286243
- Combined Prediction Score: 0.6265284018181023
- Mean Citation Score: 191.52592
- Max Citation Score: 193.82828
- Similarity Product: 132.2957620865655

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