PATENT CLAIM ANALYSIS

Application Number: 16090766
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["703", "011000"]

Abstract:
Disclosed are computational modeling methods employing RMS fluctuation values associated with energy functions to compute binding properties of a subject biomolecule and an identified target. An energy function (or force field) that relates the molecular structure of a biomolecule to an energy value, modified with terms calculated from sets of RMS fluctuation values of the biomolecule, the target and the complex, are used to identify a potential mutation or modification suitable for imparting a selected property to a biomolecule of interest. Uses of the method in the manufacture of non-native proteins having a selected modified property are also provided. Therapeutic agents (proteins, antibodies, TCRs) enzymes, etc., prepared according to the present methods are also provided. Non-native biomolecules having improved properties, for example, weaker or enhanced binding affinity in a modified TCR, are described. Enzymes, industrial reagents, and the like, created using the disclosed methods are also presented.

Claim (Index 5):
The method of  claim 4  wherein the immune system protein is a T-cell receptor (TCR) and the modified immune system protein is a modified T-cell receptor that comprises a modified amino acid at a site within a CDR1, CDR2 or CDR3 loop of an \u03b1 or \u03b2 chain.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 1.84783
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15327984', '14280308', '14248919', '14249904', '15037485']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2871927322935536
- 35 USC 102 Novelty (BERT): 0.508769502117069
- Combined Prediction Score: 0.3093504092759051
- Mean Citation Score: 264.96863
- Max Citation Score: 305.4636
- Similarity Product: 276.4500295824766

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

Dataset: test