PATENT CLAIM ANALYSIS

Application Number: 15917549
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["435", "006110"]

Abstract:
The embodiments disclosed herein utilized RNA targeting effectors to provide a robust CRISPR-based diagnostic with attomolar sensitivity. Embodiments disclosed herein can detect broth DNA and RNA with comparable levels of sensitivity and can differentiate targets from non-targets based on single base pair differences. Moreover, the embodiments disclosed herein can be prepared in freeze-dried format for convenient distribution and point-of-care (POC) applications. Such embodiments are useful in multiple scenarios in human health including, for example, viral detection, bacterial strain typing, sensitive genotyping, and detection of disease-associated cell free DNA.

Claim (Index 22):
A method for detecting target nucleic acids in samples comprising:\n distributing a sample or set of samples into one or more individual discrete volumes, the individual discrete volumes comprising the CRISPR system of  claim 1 ; amplification of one or more target molecules; incubating the sample or set of samples under conditions sufficient to allow binding of the one or more guide RNAs to one or more target molecules; activating the CRISPR effector protein via binding of the one or more guide RNAs to the one or more target molecules, wherein activating the CRISPR effector protein results in modification of the RNA-based masking construct such that a detectable positive signal is generated; and detecting the detectable positive signal, wherein detection of the detectable positive signal indicates a presence of one or more target molecules in the sample.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 90.0
- Lexical Diversity: 1.38889
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15917546', '15467922', '15916271', '14975085', '15897089']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.648700389115791
- 35 USC 102 Novelty (BERT): 0.6506107423838002
- Combined Prediction Score: 0.648891424442592
- Mean Citation Score: 415.336298
- Max Citation Score: 717.7631
- Similarity Product: 583.3559142552077

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