New Insights into the Structure and Function of Nuclear Receptors
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Biology".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 7
Special Issue Editor
Interests: nuclear receptors; genomics; transcriptomics; toxicology; evolutionary biology
Special Issue Information
Dear Colleagues,
Recent advances in structural biology, molecular pharmacology, and computational modelling have provided unprecedented insights into nuclear receptor (NR) dynamics, ligand recognition, and cofactor interactions. At the same time, comparative genomics and evolutionary biology are revealing how NRs have diversified across metazoans, enlightening the origins and functional evolution of endocrine regulation. NRs are a large superfamily of mostly ligand-dependent transcription factors that regulate gene expression, development, metabolism, and homeostasis across the Animal Kingdom. Acting as key molecular sensors of hormonal, metabolic, and environmental cues, they coordinate transcriptional programs that are essential for physiological and pathological processes.
This Special Issue in the International Journal of Molecular Sciences (IJMS) aims to highlight new insights into the structure and function of NRs, integrating structural, biochemical, computational, and evolutionary approaches. By bringing together diverse perspectives, this Special Issue seeks to advance our understanding of NR biology, including the molecular structure, functional mechanisms, and evolutionary diversity of NRs, fostering a comprehensive understanding of their role in biology and medicine.
We welcome original research, reviews, and communications addressing topics such as structural and mechanistic studies of NRs and their complexes, ligand binding, receptor activation, and allosteric regulation, the evolutionary origins and diversification of NR families, systems biology and omics approaches to NR signalling, or structure-based design of selective NR modulators.
I look forward to hearing from you.
Dr. Elza Fonseca
Guest Editor
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Keywords
- transcription factors
- endocrine disorders
- ligands
- xenobiotics
- pharmacology
- modelling
- drug design
- evolution
- bioinformatics
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