In Search of Better Peptide-(Derived from PD-L2)-Based Immune Checkpoint Inhibitors.
FRET
NMR
PD-1
PD-L1
PD-L2
inhibitors
modeling
Journal
Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414
Informations de publication
Date de publication:
18 May 2024
18 May 2024
Historique:
received:
11
04
2024
revised:
10
05
2024
accepted:
16
05
2024
medline:
24
5
2024
pubmed:
24
5
2024
entrez:
24
5
2024
Statut:
epublish
Résumé
Current anti-cancer immune checkpoint therapy relies on antibodies that primarily target the PD-1/PD-L1(-L2) negative regulatory pathway. Although very successful in some cases for certain cancers, these antibodies do not help most patients who, presumably, should benefit from this type of therapy. Therefore, an unmet clinical need for novel, more effective drugs targeting immune checkpoints remains. We have developed a series of high-potency peptide inhibitors interfering with PD-1/PD-L1(-L2) protein-protein interaction. Our best peptide inhibitors are 12 and 14 amino acids long and show sub-micromolar IC
Identifiants
pubmed: 38786004
pii: biom14050597
doi: 10.3390/biom14050597
pii:
doi:
Substances chimiques
Immune Checkpoint Inhibitors
0
Peptides
0
Programmed Cell Death 1 Receptor
0
Programmed Cell Death 1 Ligand 2 Protein
0
PDCD1LG2 protein, human
0
PDCD1 protein, human
0
B7-H1 Antigen
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM