International Journal of Molecular Sciences· 2026Q1· Review
Store-Operated Calcium Entry Inhibitors: Structural Diversity, Mechanisms of Action, and Optimization Strategies
- 0citations
- Q1SCImago
- 2026year
Short summary
This review details chemical classes of store-operated calcium entry (SOCE) inhibitors targeting Orai and STIM proteins, highlighting structure-activity relationships, mechanisms, and optimization strategies for drug design.
AI-generated from the title and abstract; the full text is not read.
Key points
- SOCE is a critical calcium influx pathway involved in numerous physiological processes.
- Dysregulated SOCE contributes to cardiovascular disorders, cancer, and neurodegenerative diseases.
- Review covers major chemical classes of SOCE inhibitors targeting Orai and STIM proteins.
- Focus is on structure-activity relationships, mechanisms of action, and optimization strategies.
- Identifies SOC channels as promising therapeutic targets for drug design.
AI-generated from the title and abstract; the full text is not read.
Abstract
Store-operated calcium entry (SOCE) is a ubiquitous calcium influx pathway critically involved in numerous physiological processes. Dysregulated SOCE contributes to the pathogenesis of cardiovascular disorders, cancer, and neurodegenerative diseases, making SOCE modulators promising therapeutic candidates. This review provides an overview of the major chemical classes of classical SOCE inhibitors that target Orai and STIM proteins. We focus on structure–activity relationships (SARs), mechanisms of action, strategies for enhancing inhibitory potency and selectivity, and discuss the limitations and side-effect profiles of these compounds. This comprehensive analysis identifies SOC channels as promising therapeutic targets and outlines future directions for rational drug design and the development of clinically viable SOCE modulators.
The authors' abstract, as published at the source. International Journal of Molecular Sciences, 2026 · DOI ↗
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Field: Sensory Systems
Sensory SystemsNeuroscience