PATENT CLAIM ANALYSIS

Application Number: 16021024
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["435", "069500"]

Abstract:
Provided are methods for identifying T-cell receptors that bind to an antigen in primates. In certain embodiments, the methods comprise: sequencing the cDNA prepared from a combined population of T-cells to obtain a plurality of T-cell receptor alpha chain sequences and a plurality of T-cell receptor beta chain sequences; grouping the obtained alpha chain sequences into alpha chain groups based on their CDR3 sequences; grouping the obtained beta chain sequences into beta chain groups based on their CDR3 sequences; pairing the alpha chain groups with the beta chain groups based on the number of alpha chain or beta chain sequences in each group; pairing one alpha chain sequence and one beta chain sequence in each paired alpha chain group and beta chain group; and testing candidate T-cell receptor comprising the paired alpha chain and beta chain sequences for binding to the antigen.

Claim (Index 1):
A method comprising steps of:\n a) obtaining a population of T cells from a non-human primate that has been immunized by an antigen; b) preparing cDNA from the population of T cells without separating the population of T cells into single cells; c) sequencing the cDNA to obtain:\n (c1) a plurality of T-cell receptor (TCR) \u03b1-chain sequences and \n (c2) a plurality of TCR \u03b2-chain sequences, \n wherein each of the TM \u03b1-chain sequences comprises an \u03b1-chain framework, CDR-\u03b11, CDR-\u03b12 and CDR-\u03b13, and wherein each of the TCR \u03b2-chain sequences comprises a \u03b2-chain framework, CDR-\u03b21, CDR-\u03b22 and CDR-\u03b23; d) grouping said obtained plurality of TCR \u03b1-chain sequences into a plurality of \u03b1-chain groups, wherein the CDR-\u03b13 of said \u03b1-chain sequences in each \u03b1-chain group contain 0, 1 or 2 amino acid differences relative to one another; e) grouping said obtained plurality of TCR\u03b2-chain sequences into a plurality of \u03b2-chain groups, wherein the CDR-\u03b23 of said \u03b2-chain sequences in each \u03b2-chain group contain 0, 1 or 2 amino acid differences relative to one another; f) ranking the plurality of \u03b1-chain groups according to the number of TCR \u03b2-chain sequences in each \u03b1-chain group, wherein a first \u03b1-chain group has the most members of TCR \u03b1-chain sequences and a second \u03b1-chain group has the second most members of TCR \u03b1-chain sequences, and so on-for the plurality of \u03b1-chain groups; g) ranking the plurality of \u03b2-chain groups according to the number of TCR \u03b2-chain sequences in each \u03b2-chain group, wherein a first \u03b2-chain group has the most members of TCR \u03b2-chain sequences and a second \u03b2-chain group has the second most members of TCR \u03b2-chain sequences, and so on for the plurality of \u03b2-chain groups; h) pairing the first \u03b1-chain group with the first \u03b2-chain group; i) pairing a first TCR \u03b1-chain sequence from the first \u03b1-chain group and a first TCR \u03b2-chain sequence from the first \u03b2-chain group,\n wherein \n the first TCR \u03b1-chain sequence comprises a first \u03b1-chain framework, first CDR-\u03b11, first CDR-\u03b12 and first CDR-\u03b13, and \n the first TCR \u03b2-chain sequence comprises a first \u03b2-chain framework, first CDR-\u03b21, first CDR-\u03b22 and first CDR-\u03b23, and \n j) testing a first candidate TCR comprising the first TCR \u03b1-chain sequence from the first \u03b1-chain group and the first TCR \u03b2-chain sequence from the first \u03b2-chain group for binding to the antigen.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 94.0
- Lexical Diversity: 2.47541
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15208850', '13802172', '10287941', '14383602', '15995584']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5423065680060265
- 35 USC 102 Novelty (BERT): 0.5814645140647228
- Combined Prediction Score: 0.5462223626118962
- Mean Citation Score: 339.87637399999994
- Max Citation Score: 538.49335
- Similarity Product: 372.8498953331053

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