PATENT CLAIM ANALYSIS

Application Number: 15749928
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["424", "265100"]

Abstract:
An immunogenic composition is provided herein. The immunogenic compositions are used to identify and select immunogenic antigens that elicit immune responses in a subject and may be subsequently used in multi-antigen vaccine compositions against one or more diseases or conditions. According to some embodiments, the immunogenic composition may include a plurality of nucleic acid fragments or minigenes derived from a nucleic acid library, wherein each nucleic acid fragment encodes a different antigen or functional portion thereof, and wherein the different antigens or functional portions thereof are associated with one or more disease or condition. The immunogenic composition may also include a delivery medium loaded with the plurality of nucleic acid fragments and in some embodiments, the delivery medium is loaded with nucleic acid fragments in such a way that individual antigen presenting cells receive only a subset of the nucleic acids within a vaccine in order to minimize antigenic competition.

Claim (Index 1):
An immunogenic composition comprising:\n a plurality of nucleic acid fragments derived from a nucleic acid library, wherein each of the plurality of nucleic acid fragments encode a different antigen or functional portion thereof, wherein the different antigens or functional portions thereof are associated with one or more disease or condition; and a delivery medium loaded with the plurality of nucleic acid fragments.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 88.0
- Lexical Diversity: 1.95062
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14219390', '13391615', '10569703', '14657302', '13823581']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7589090532426902
- 35 USC 102 Novelty (BERT): 0.5153839264615889
- Combined Prediction Score: 0.7345565405645801
- Mean Citation Score: 306.8807700000001
- Max Citation Score: 310.9809
- Similarity Product: 227.8766109069944

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