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 48):
The method of  claim 44 , wherein the subject is exposed to the at least one pool of antigens or portions thereof by administering the at least one pool of antigens or portions thereof by biolistic particle bombardment, highly parallel electroporation, or highly parallel microneedles.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 88.0
- Lexical Diversity: 1.95062
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14219390', '13391615', '10569703', '14657302', '13823581']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7792886955075631
- 35 USC 102 Novelty (BERT): 0.5263480487706359
- Combined Prediction Score: 0.7539946308338704
- Mean Citation Score: 306.8807700000001
- Max Citation Score: 310.9809
- Similarity Product: 170.8154552104354

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