PATENT CLAIM ANALYSIS

Application Number: 16083747
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-05
Patent Classification: ["424", "001890"]

Abstract:
A radioligand for labeling myelin includes a fluorescent trans-stilbene derivative.

Claim (Index 1):
A method of detecting myelin in vivo in a subject's tissue, the method comprising:\n (i) administering to the subject a radioligand including a compound having the formula: wherein R 1  is a H, a lower alkyl group, or a radiolabeled triazole group; R 2  is H, or NHR\u2032, where R\u2032 is H, a lower alkyl group, or a radiolabeled triazole group; R 3  and R 4  are same or different and are each independently H, NHR\u2033, where R\u2033 is H or a lower alkyl group, or a radiolabeled lower alkyl group, alkylene group, alkenyl group, alkynyl group, or alkoxy group; R 5  and R 6  are H or are linked to form a cyclic ring, wherein the cyclic ring is aromatic, alicyclic, heteroaromatic, or heteroalicyclic; R 7  and R 8  are H or are linked to form a cyclic ring, wherein the cyclic ring is aromatic, alicyclic, heteroaromatic, or heteroalicyclic; wherein at least one of R 1 , R 2 , R 3 , or R 4  includes a radiolabel selected from the group consisting of  18 F,  123 I,  125 I, and  99m Tc; or a pharmaceutically acceptable salt thereof; (ii) detecting the location, distribution, and/or amount of the radioligand that is bound to and/or labels myelin to detect myelin in the tissue.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 97.0
- Lexical Diversity: 1.0
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13121742', '13806795', '12372717', '12044952', '10903771']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7379830820327203
- 35 USC 102 Novelty (BERT): 0.5266133725475016
- Combined Prediction Score: 0.7168461110841985
- Mean Citation Score: 291.141568
- Max Citation Score: 355.2748
- Similarity Product: 310.2326890998125

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