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 47):
A method of identifying a test compound as a modulator of mTORC1 by determining if the test compound can induce or increase the affinity of CASTOR1 for arginine comprising the steps of:\n a. providing a mixture comprising:\n i. a polypeptide comprising an arginine binding fragment of CASTOR1, or a polypeptide having at least 80% homology to CASTOR1 that retains the ability to bind arginine; and \n ii. the test compound; \n b. incubating the mixture of a) with arginine under conditions that allow arginine to bind to the polypeptide; and c. determining whether the amount of arginine bound to the polypeptide 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 and determining that the test compound is not competing with arginine for binding to CASTOR1 and acting as an arginine mimetic, wherein if the amount of binding is decreased in the presence of test compound, the test compound is identified as an inhibitor of mTORC1 activity; and if the amount of binding is increased in the presence of the test compound, the test compound is identified as an activator 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): 0.6151012741217224
- 35 USC 102 Novelty (BERT): 0.585035607673645
- Combined Prediction Score: 0.6120947074769147
- Mean Citation Score: 355.14326199999994
- Max Citation Score: 526.1424599999998
- Similarity Product: 427.8876163132058

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