PATENT CLAIM ANALYSIS

Application Number: 16454203
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["702", "156000"]

Abstract:
A method, computer program product, and system for identifying a surface area size of a biosensing structure, for use in a bionsensor device, based on a plurality of nucleotides structures under test. A first set of properties are determined comprising: reaction coordinate values, and potential of mean force (PMF) values, for the plurality of nucleotide structures based on a first set of testing conditions comprising a first surface area material, a first surface area pattern, and a first surface area size. A second set of properties is determined comprising reaction coordinate values, and PMF values, for the plurality of nucleotide structures based on a second set of testing conditions comprising a second surface area material, a second surface area pattern, a second surface area size, or a combination thereof and a target population of nucleotide structures among the plurality of nucleotide structures are identified.

Claim (Index 6):
The method of  claim 2 , wherein the third surface area material is the same as the second surface area material, the third surface area pattern is the same as the second surface area pattern, and the third surface area size is different from the second surface area size

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.71667
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15172801', '12743026', '13991227', '14173064', '09510378']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.172174943868182
- 35 USC 102 Novelty (BERT): 0.5230621973581427
- Combined Prediction Score: 0.2072636692171781
- Mean Citation Score: 158.36856799999995
- Max Citation Score: 343.82504
- Similarity Product: 341.0703353918744

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