PATENT CLAIM ANALYSIS

Application Number: 16177141
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["506", "011000"]

Abstract:
Methods for the identification of agents the bind to exo-sites of proteins are provided. Agents identified by the methods described herein and pharmaceutical compositions comprising the identified agents are also provided. Methods of using an identified agent for the treatment or prevention of a disease, disorder, or condition are also provided, including methods of treating or preventing a disease associated with reduced, elevated, or ectopic expression or aberrant activity of a protein comprising an exo-site.

Claim (Index 1):
A method of identifying an agent that binds an exo-site of a protein, the method comprising:\n providing a first variant of the protein, wherein the protein comprises an exo-site; providing a second variant of the protein, wherein the exo-site of the second variant comprises at least one different amino acid than the exo-site of the first variant; contacting each member of a library of candidate agents with each of the first and second variants; determining an enrichment based parameter for each candidate agent with respect to each of the first and second variants by a binding assay; comparing, for each candidate agent, the binding to the first variant with the binding to the second variant, wherein if the enrichment-based parameter using the first protein variant is greater than the enrichment-based parameter using the second protein variant, then the candidate agent is identified as an agent that binds an exo-site of the protein; wherein the exo-site is not an allosteric site; and wherein the library is an encoded library.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 97.0
- Lexical Diversity: 1.72917
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14890864', '16469140', '12141026', '14498864', '11326710']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5663434176462112
- 35 USC 102 Novelty (BERT): 0.5022689159147053
- Combined Prediction Score: 0.5599359674730606
- Mean Citation Score: 187.080888
- Max Citation Score: 195.77303
- Similarity Product: 114.89344934640408

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

Dataset: test