PATENT CLAIM ANALYSIS

Application Number: 16220923
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["424", "144100"]

Abstract:
The present disclosure relates to pharmaceutical compositions comprising a non-naturally occurring fusion molecule and one or more pharmaceutically acceptable carriers, formulated for oral delivery to a subject, and designed to provide for improved, effective therapies for treatment of, e.g., inflammatory diseases, autoimmune diseases, cancer, metabolic disorders, and growth deficiency disorders.

Claim (Index 4):
The pharmaceutical composition of  claim 1 , wherein the fragment of the amino acid sequence set forth in SEQ ID NO: 1 consists of the amino acid sequence set forth in any one of SEQ ID NO: 42, SEQ ID NO: 43, SEQ ID NO: 44, SEQ ID NO: 45, SEQ ID NO: 46, SEQ ID NO: 47, SEQ ID NO:48, SEQ ID NO: 49, SEQ ID NO: 50, SEQ ID NO: 51, SEQ ID NO: 52, SEQ ID NO: 53, SEQ ID NO: 54, SEQ ID NO: 55, SEQ ID NO: 56, SEQ ID NO: 57, SEQ ID NO: 58, SEQ ID NO: 59, SEQ ID NO: 60, SEQ ID NO: 61, SEQ ID NO: 62, SEQ ID NO: 63, SEQ ID NO: 64, SEQ ID NO: 65, SEQ ID NO: 66, SEQ ID NO: 67, SEQ ID NO: 68, SEQ ID NO: 69, SEQ ID NO: 70, SEQ ID NO: 71, SEQ ID NO: 72, SEQ ID NO: 73, SEQ ID NO: 74, SEQ ID NO: 75, SEQ ID NO: 76, SEQ ID NO: 77, SEQ ID NO: 78, SEQ ID NO: 79, or SEQ ID NO: 80.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 98.0
- Lexical Diversity: 1.39535
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15309177', '16207637', '16207611', '15616140', '13822435']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7733723169035417
- 35 USC 102 Novelty (BERT): 0.581651315949912
- Combined Prediction Score: 0.7542002168081787
- Mean Citation Score: 462.81984000000006
- Max Citation Score: 541.9144
- Similarity Product: 375.4662284450531

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