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Specificity of eukaryotic protein degradation is determined by E3 ubiquitin ligases and their selective binding to protein motifs, termed "degrons," in substrates for ubiquitin-mediated proteolysis. From the discovery of the first substrate degron and the corresponding E3 to a flurry of recent studies enabled by modern systems and structural methods, it is clear that many regulatory pathways depend on E3s recognizing protein termini. Here, we review the structural basis for recognition of protein termini by E3s and how this recognition underlies biological regulation. Diverse E3s evolved to harness a substrate's N and/or C terminus (and often adjacent residues as well) in a sequence-specific manner. Regulation is achieved through selective activation of E3s and also through generation of degrons at ribosomes or by posttranslational means. Collectively, many E3 interactions with protein N and C termini enable intricate control of protein quality and responses to cellular signals.
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http://dx.doi.org/10.1016/j.molcel.2022.02.004 | DOI Listing |
Biochem Biophys Res Commun
August 2025
Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory of Gene Editing for Breeding, School of Life Sciences, Lanzhou University, Lanzhou, Gansu, 730000, China. Electronic address: xiaochb@lz
Ammonium (NH) toxicity significantly limits nitrogen use efficiency (NUE) in agriculture. Nitrate (NO) supplementation mitigates this toxicity, with the anion channel SLAH3 playing a central role by mediating NO efflux to counteract NH-induced rhizosphere acidification. SLAH3, a plasma membrane protein with ten transmembrane domains and cytosolic N- and C-termini, is intrinsically silent.
View Article and Find Full Text PDFEngineered luciferases have transformed biological imaging and sensing, yet optimizing NanoLuc luciferase (NLuc) remains challenging due to the inherent stability-activity trade-off and its limited sequence homology with characterized proteins. We report a hybrid approach that synergistically integrates computational deep learning with structure-guided rational design to develop enhanced NLuc variants that improve thermostability and thereby activity at elevated temperatures. By systematically analyzing libraries of engineered variants, we established that modifications to termini and loops distal from the catalytic center, combined with preservation of allosterically coupled networks, effectively enhance thermal resilience while maintaining enzymatic function.
View Article and Find Full Text PDFFood Chem
September 2025
Institute of Food and Drug Research for One Health, Ludong University, Yantai, People's Republic of China; School of Food Engineering, Ludong University, Yantai, People's Republic of China. Electronic address:
Food-derived bioactive peptides exhibit therapeutic potentials in hypertension management in recent years. This review firstly synthesizes findings from a total of 62 relevant studies concerning the potentials of both plant- and animal-derived peptides. Secondly, the molecular targets and acting mechanisms underlying the antihypertensive effects of food-derived peptides are discussed.
View Article and Find Full Text PDFACS Chem Neurosci
September 2025
School of Chemistry and Chemical Engineering, Institute of Molecular Science, Shanxi University, Taiyuan 030006, China.
Histidine behavior plays a pivotal role in protein folding and misfolding; yet, its influence on cross-seeding during the nucleation phase remains poorly understood. The current study investigates the role of histidine behavior on the structural and aggregation properties during the cross-seeding of Aβ(1-40) and PrP(106-126) peptides. Our findings reveal that all systems tend to form dimeric structures.
View Article and Find Full Text PDFbioRxiv
August 2025
Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Self-assembling protein nanoparticles are being increasingly utilized in the design of next-generation vaccines due to their ability to induce antibody responses of superior magnitude, breadth, and durability. Computational protein design offers a route to novel nanoparticle scaffolds with structural and biochemical features tailored to specific vaccine applications. Although strategies for designing new self-assembling proteins have been established, the recent development of powerful machine learning-based tools for protein structure prediction and design provides an opportunity to overcome several of their limitations.
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