PATENT CLAIM ANALYSIS

Application Number: 16269655
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["435", "285100"]

Abstract:
In an illustrative embodiment, automated multi-module cell editing instruments are provided to automate multiple edits into nucleic acid sequences inside one or more cells.

Claim (Index 1):
An automated stand-alone multi-module cell editing instrument for performing inducible nuclease editing comprising:\n a receptacle configured to receive cells; one or more receptacles configured to receive nucleic acids, wherein the nucleic acids comprise an inducible nuclease editing system; a growth module for growing cells for transformation; a transformation module configured to introduce the nucleic acids into the cells; a nuclease-directed editing module configured to activate the inducible nuclease editing system and allow the introduced nucleic acids to edit nucleic acids in the cells; a processor configured to operate the automated multi-module cell editing instrument based on user input and/or selection of a pre-programmed script; and an automated liquid handling system to move cells from the cell receptacle to the growth module, from the growth module to the transformation module and from the transformation module to the nuclease-directed editing module without user intervention.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.0
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16024816', '16269671', '16147865', '16147871', '16147120']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6321692770298801
- 35 USC 102 Novelty (BERT): 0.5877319129178182
- Combined Prediction Score: 0.6277255406186739
- Mean Citation Score: 382.331824
- Max Citation Score: 505.44403
- Similarity Product: 461.9521208452964

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