PATENT CLAIM ANALYSIS

Application Number: 16224006
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["506", "009000"]

Abstract:
A high through-put screening method for identifying agents effective for inhibiting biofilm formation and/or killing established biofilm are disclosed. The method includes three tiers, and each tier includes three specific biological process assays. The tier levels are a primary screen, a confirmation screen, and a dose-response screen, and the biological process assays include assays for total bacterial growth, bacterial metabolic activity, and biofilm formation. The series of assays may be run once or more than once at each tier. A library of compounds is subject to tier A and only compounds meeting a primary parameter advance to tier B, and only tier B compounds meeting a confirmation parameter advance to tier C, and only tier C compounds meeting a dose-response parameter are identified as putative agents effective for inhibiting and/or eradicating a biofilm, further wherein the assays are conducted for each compound subject to the respective tier. The method is effective and validated for identifying agents which inhibit and/or kill  Staphylococcus epidermidis, Pseudomonas aeruginosa , and  Acinetobacter baumannii  biofilms. Agents identified according to the high through-put screen and validated in follow-up experiments as effective for inhibiting and/or killing bacterial biofilms are also disclosed.

Claim (Index 2):
The compound according to  claim 1  effective for killing established  A. baumannii  biofilm, wherein the compound is selected from 1, 2, 12, 17, 18, 31, and 34.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.33333
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14776043', '13566816', '12699680', '14507431', '14076149']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.59085381446082
- 35 USC 102 Novelty (BERT): 0.5542937311592727
- Combined Prediction Score: 0.5871978061306653
- Mean Citation Score: 310.00146000000007
- Max Citation Score: 441.2555
- Similarity Product: 247.784378978461

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