PATENT CLAIM ANALYSIS

Application Number: 16267940
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["435", "134000"]

Abstract:
The present invention provides mutant microorganism that have higher lipid productivity than the wild type microorganisms from which they are derived while biomass at levels that are within approximately 50% of wild type biomass productivities under nitrogen replete conditions. Particular mutants produce at least twice as much FAME lipid as wild type while producing at least 75% of the biomass produced by wild type cells under nitrogen replete conditions. Also provided are methods of producing lipid using the mutant strains.

Claim (Index 1):
A method of producing lipid, comprising culturing a classical mutagenesis derived or genetically engineered mutant algal or heterokont microorganism that produces at least 30% more fatty acid methyl ester-derivatizable lipids (FAME lipids) than a control algal or heterokont microorganism and at least 45% of the amount of biomass produced by the control microorganism when the mutant microorganism and control microorganism are cultured under identical conditions under which the control microorganism is producing biomass, wherein the mutant microorganism has attenuated expression of a gene encoding a polypeptide comprising an amino acid sequence having at least 80% identity to the amino acid sequence of SEQ ID NO:2 or SEQ ID NO: 17.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 99.0
- Lexical Diversity: 1.57407
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15210845', '15341998', '15256460', '15130866', '15299457']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6847718513260214
- 35 USC 102 Novelty (BERT): 0.619443594329524
- Combined Prediction Score: 0.6782390256263716
- Mean Citation Score: 472.097546
- Max Citation Score: 651.9889
- Similarity Product: 501.81319400525086

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