PATENT CLAIM ANALYSIS

Application Number: 15942708
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["800", "279000"]

Abstract:
Methods and materials for conferring pest resistance to plants are provided. Plants are transformed with a silencing construct homologous to a gene of a plant pest that is essential for the survival, development, or pathogenicity of the pest. This results in the plant producing RNAi to the selected gene, which, when ingested by the pest results in silencing of the gene and a subsequent reduction of the pest's ability to harm the plant. In other embodiments, the pest's reduced ability to harm the plant is passed on to pest progeny. Methods and materials for depathogenesis of pests is also provided.

Claim (Index 19):
A composition for transforming a tobacco plant to impart resistance to  P. nicotianae  or  P. tabacina , the composition comprising:\n (a) an antisense sequence having at least 80% homology to a first pest pathogenicity gene, wherein said first pathogenicity gene is from  P. nicotianae  or  P. tabacina;  (b) a sense sequence substantially complementary to said antisense sequence; (c) a spacer region separating the sense and antisense sequence comprising an  E. coli  (3-glucuronidase gene (\u2018GUS\u2019); and (d) a cauliflower mosaic virus (CaMV) 35S promoter operably linked to said sense sequence, said antisense sequence and said spacer region.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.0
- Patent Class: 800.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14047609', '13867701', '13171117', '13171106', '11256428']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7396469239633721
- 35 USC 102 Novelty (BERT): 0.6053847115577128
- Combined Prediction Score: 0.7262207027228061
- Mean Citation Score: 652.7944200000002
- Max Citation Score: 694.12756
- Similarity Product: 472.1669842715741

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test