PATENT CLAIM ANALYSIS

Application Number: 15994502
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-03
Patent Classification: ["514", "183000"]

Abstract:
The present invention describes methods and compositions for improving the therapeutic efficacy of therapeutic agents previously limited by suboptimal therapeutic performance by either improving efficacy as monotherapy or reducing side effects. Such methods and compositions are particularly applicable to bisantrene or derivatives, analogs, or prodrugs thereof.

Claim (Index 8):
The composition of  claim 1  wherein the therapeutic agent is bisantrene and the bisantrene is in the form of a prodrug system, wherein the prodrug system is selected from the group consisting of:\n (a) enzyme sensitive esters; \n (b) dimers; \n (c) Schiff bases; \n (d) pyridoxal complexes; \n (e) caffeine complexes; \n (f) plasmin-activated prodrugs; and \n (g) drug targeting complexes comprising a targeting carrier molecule that is selectively distributed to a specific cell type or tissue containing the specific cell type; a linker which is acted upon by a molecule that is present at an effective concentration in the environs of the specific cell type; and a therapeutically active agent to be delivered to the specific cell type; and \n (h) a prodrug molecule comprising a conjugate of bisantrene or a derivative or analog of bisantrene, a protease-specific cleavable peptide, and optionally, a targeting peptide, with the prodrug molecule being substantially inactive prior to degradation of the protease-specific cleavable peptide by a proteolytic enzyme within or in close proximity to the cancer cell.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 1.31579
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15979041', '14907728', '14907729', '13817096', '14250958']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.775108161950004
- 35 USC 102 Novelty (BERT): 0.5313652600930407
- Combined Prediction Score: 0.7507338717643077
- Mean Citation Score: 276.52593
- Max Citation Score: 362.98706
- Similarity Product: 255.6077743639076

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