PATENT CLAIM ANALYSIS

Application Number: 16171596
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["702", "019000"]

Abstract:
Described herein are techniques for more precisely identifying antibodies that may have a high affinity to an antigen. The techniques may be used in some embodiments for synthesizing entirely new antibodies for screening for affinity, and for more efficiently synthesizing and screening antibodies by identifying, prior to synthesis, antibodies that are predicted to have a high affinity to the antigen. In some embodiments, a machine learning engine is trained using affinity information indicating a variety of antibodies and affinity of those antibodies to an antigen. The machine learning engine may then be queried to identify an antibody predicted to have a high affinity for the antigen.

Claim (Index 79):
A system comprising control circuitry configured to perform a method for identifying an amino acid sequence for a protein having an interaction with a target, the method comprising:\n receiving an initial amino acid sequence for a protein having a first characteristic and a second characteristic; training a machine learning engine using data that includes a plurality of amino acid sequences and information identifying a first characteristic and a second characteristic corresponding to each of the plurality of amino acid sequences; and querying the trained machine learning engine for a proposed amino acid sequence of a protein having an interaction with the target that differs from the initial amino acid sequence, wherein the querying the machine learning engine comprises:\n predicting the proposed amino acid sequence by using the first characteristic and the second characteristic to identify a specific amino acid for at least one residue of the proposed amino acid sequence; and \n receiving from the machine learning engine the proposed amino acid sequence.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 97.0
- Lexical Diversity: 2.15094
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11414742', '11566120', '13929338', '10153159', '11473745']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1600330105965155
- 35 USC 102 Novelty (BERT): 0.4991408516224043
- Combined Prediction Score: 0.1939437946991044
- Mean Citation Score: 195.733258
- Max Citation Score: 201.81108
- Similarity Product: 130.33404503248215

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

Dataset: test