PATENT CLAIM ANALYSIS

Application Number: 16087223
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["514", "016500"]

Abstract:
Disclosed are CD31 shed  agonists for use in the prevention and/or treatment of reperfusion injury. These CD31 shed  agonists are peptides or peptidomimetics thereof that are able to restore CD31 signaling in cells bearing a truncated form of CD31 called CD31 shed . The CD31 shed  agonists particularly protect from organ damages caused by reperfusion used to treat ischemia.

Claim (Index 16):
The method according to  claim 15 , wherein said CD31 shed  agonist is:\n a) a peptide selected in the group consisting of:\n (i) a peptide consisting of a fragment of 3 to 15 amino acids of the sequence defined by amino acids 579 to 601 of sequence SEQ ID NO: 1, \n (ii) a peptide consisting of a fragment of 3 to 15 amino acids of a sequence corresponding to the amino acids 579 to 601 of sequence SEQ ID NO: 1 in a non-human mammalian CD31, \n (iii) a peptide of 3 to 15 amino acids consisting of a sequence at least 70% identical to the sequence of peptide (i), \n (iv) a peptide consisting of a retro-inverso sequence of peptide (i), (ii) or (iii), and \n (v) the peptide (i), (ii), (iii) or (iv) comprising at least one or at least one further chemical modification, \n or b) a peptidomimetic of peptide a).

Metadata:
- Claim Count in Document: 2.0
- Percentile: 97.0
- Lexical Diversity: 1.4186
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14809603', '13001513', '12645991', '11901939', '13782881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7801440393527684
- 35 USC 102 Novelty (BERT): 0.5260652676991835
- Combined Prediction Score: 0.75473616218741
- Mean Citation Score: 325.796382
- Max Citation Score: 339.41687
- Similarity Product: 215.6639407168204

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test