PATENT CLAIM ANALYSIS

Application Number: 15745294
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["530", "387300"]

Abstract:
The present invention relates to immunology, biotechnology and medicine, notably to the field of antitumor pharmaceuticals based on monoclonal antibodies, and can be used in medicine for the treatment of oncological diseases. The object of the invention was to create an efficient and safe universal antitumor agent, the production of which effective, quick and easy. This problem is solved by the proposed humanized monoclonal antibody specific to syndecan-1, of the IgG4 isotype, or with IgG3 fragments and amino acid substitutions for the increase the antibody half-life, characterized by a definite combination of the calculated and created by the authors amino acid and nucleotide sequences, which is used as a self-acting substance for the therapy of tumor diseases. Nucleotide sequences additionally contain a fragment coding for a signal secretory sequence at the N-terminus, and are codon-optimized to increase antibody production in mammalian cells.

Claim (Index 3):
Polynucleotide according to  claim 2 , characterized in that it additionally contains a fragment coding for a secretory signal sequence at the N-terminus cleaved upon secretion from the producer cells, is codon optimized for expression in mammalian cells, represented by SEQ ID NO:6 or SEQ ID NO:8 or SEQ ID NO:10 or SEQ ID NO:12.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.71429
- Patent Class: 530.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15517867', '13140579', '12342285', '12342407', '14074168']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6799256595303044
- 35 USC 102 Novelty (BERT): 0.5179295709279303
- Combined Prediction Score: 0.6637260506700671
- Mean Citation Score: 242.426598
- Max Citation Score: 254.34373
- Similarity Product: 136.17301874290524

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