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Updated: Jan 21, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
Published on: June 27, 2020
Structural dynamics of plant transcription factors and their functional implications
Shaowen Wu1, Wenjie Huang1, Wenyang Zhang1
1Guangdong Key Laboratory of Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, 510640, China.
None:
Transcription factor structural dynamics has emerged as a critical frontier in plant molecular biology, as many transcription factors (TFs) belong to plant-specific families with unique structural features that reveal mechanisms static structural approaches cannot capture. These advances, combining molecular dynamics simulations, NMR spectroscopy, and single-molecule techniques, have demonstrated that structural dynamics play crucial roles in driving DNA recognition, environmental responsiveness, and regulatory precision. Such computational and experimental breakthroughs have revealed rotation-coupled diffusion processes in WRKY proteins and allosteric regulation through ensemble redistribution in disordered domains. Despite these discoveries, fundamental questions remain about how plant TFs achieve specificity within complex regulatory networks and integrate multiple environmental signals. We outline current understanding of the static structures across transcription factor families before examining breakthrough discoveries in structural dynamics. These encompass the diverse architectures of DNA binding and regulatory domains, as well as the conformational flexibility and transition kinetics governing DNA binding, cofactor interactions, and environmental signal transduction. We subsequently explore how these insights are transforming biotechnological applications, from rational protein design to crop engineering strategies. Finally, we discuss remaining challenges and future directions for harnessing transcription factor dynamics in agricultural and synthetic biological applications.
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