Molecular Pharmacology of Protein Kinase Inhibitor
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pharmacology".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 234
Special Issue Editor
Interests: protein kinase inhibitor; pharmaceutical chemistry; fluorescence detection; tumor biomarker; molecular pharmacology; toxicology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As pivotal enzymes in the intracellular signal transduction pathway, protein kinases play a critical role in regulating numerous physiological processes, including cell growth, differentiation, apoptosis, and metabolism, through the catalysis of protein phosphorylation. More than 500 protein kinases are interconnected to form a highly complex network that precisely regulates various biological processes essential for life. The pathogenesis and progression of numerous diseases, such as cancer, neurodegenerative disorders, and cardiovascular diseases, are closely associated with dysregulation of protein kinases.
Therefore, we propose to publish a Special Issue highlighting recent research achievements in the development, mechanisms, and therapeutic applications of kinase-targeted agents, especially the following aspects: (1) modulation of signaling pathways by selective and allosteric kinase inhibitors; (2) structural insights into the interaction between protein kinase and inhibitor; (3) mechanisms of resistance and strategies to overcome therapeutic limitations; (4) development of novel kinase inhibitors in drug design; (5) preclinical/clinical evaluation of novel kinase inhibitors; (6) combination therapies and biomarker discovery for protein kinase; (7) computational modeling for kinase inhibitor optimization; and (8) toxicity profiles and pharmacovigilance studies for protein kinase inhibitors.
Prof. Dr. Liming Hu
Guest Editor
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Keywords
- protein kinase inhibitor
- molecular pharmacology
- signaling pathway
- preclinical/clinical evaluation
- computational modeling
- toxicity
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