PATENT CLAIM ANALYSIS

Application Number: 16067110
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["435", "007100"]

Abstract:
The invention relates to methods of identifying compounds that modulate mTORC1 activity in a cell by modulating the activity of CASTOR1, as well as to the use of such identified compounds in the modulation of mTORC1 and the treatment of diseases and conditions characterized by aberrant mTORC1 activity.

Claim (Index 13):
A method of identifying a test compound as an inhibitor of mTORC1 activity comprising the steps of:\n a) providing a mixture comprising:\n (i) a first polypeptide comprising a GATOR2-binding fragment of CASTOR1, or a polypeptide having at least 80% homology to CASTOR1 that retains the ability to bind GATOR2; and \n (ii) a second polypeptide or protein complex comprising a CASTOR1-binding fragment of a GATOR2 complex, or a polypeptide or protein complex having at least 80% homology to a GATOR2 complex that retains the ability to bind to CASTOR1, \n under conditions that prevent the first polypeptide from associating with the second polypeptide or protein complex;\n b) incubating the mixture of a) with the test compound; \n c) determining whether the amount of the first polypeptide associated with the second polypeptide or protein complex is altered in the presence of the test compound as compared to either the absence of the test compound or the presence of a negative control, wherein if the amount of association is increased the test compound is identified as an inhibitor of mTORC1 activity.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 94.0
- Lexical Diversity: 1.51515
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15511007', '15308605', '13584607', '14223188', '12900289']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6122168410100387
- 35 USC 102 Novelty (BERT): 0.5922818161816681
- Combined Prediction Score: 0.6102233385272017
- Mean Citation Score: 355.14326199999994
- Max Citation Score: 526.1424599999998
- Similarity Product: 460.7394068759498

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