The structures of the MAP kinase p38 in complex with docking site peptides containing a phi(A)-X-phi(B) motif, derived from substrate MEF2A and activating enzyme MKK3b, have been solved. The peptides bind to the same site in the C-terminal domain of the kinase, which is both outside the active site and distinct from the "CD" domain previously implicated in docking site interactions. Mutational analysis on the interaction of p38 with the docking sites supports the crystallographic models and has uncovered two novel residues on the docking groove that are critical for binding. The two peptides induce similar large conformational changes local to the peptide binding groove. The peptides also induce unexpected and different conformational changes in the active site, as well as structural disorder in the phosphorylation lip.
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http://dx.doi.org/10.1016/s1097-2765(02)00525-7 | DOI Listing |
Plant Sci
January 2025
Key Laboratory for Zhejiang Super Rice Research, Chinese National Center for Rice Improvement and Stat Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, HangZhou, Zhejiang, 311402, China. Electronic address:
Culm strength is crucial for rice growth, nutrition transportation, and structural resilience, which are essential for lodging resistance and stable production. In this study, we identified a rice thin culm mutant tc4, characterized by thinner culms and thicker cavity walls, resulting in weakened culm mechainical strength. Using map-based cloning, the candidate gene was isolated, and complementation and CRISPR/Cas9 experiments confirmed that a single nucleotide substitution in TC4 is responsible for the thin and brittle culm phenotype.
View Article and Find Full Text PDFPlant Physiol Biochem
January 2025
Department of Applied Biosciences, Kyungpook National University, 41566, Daegu, Republic of Korea. Electronic address:
Plant growth-promoting rhizobacteria (PGPR) and biochar (BC) are recognized as effective biological agents for enhancing stress tolerance and mitigating heavy metal toxicity in crops. Therefore, this study aims to investigate the effects of the cadmium (Cd)-resistant PGPR strain Leclercia adecarboxylata HW04 (>4 mM Cd resistance) on soybean plants exposed to 300 μM Cd. HW04 was observed to possess the innate ability to synthesize indole-3-acetic acid and exopolysaccharides, which facilitated the absorption of Cd in the medium.
View Article and Find Full Text PDFAppetite
January 2025
Faculty of Business and Law, Curtin University, Perth, Western Australia, Australia.
Climate change is an emerging global reality with widespread effects on ecosystems and human communities. However, its significant impact on livestock animals often goes underdiscussed as more focus is given to impact of livestock production on climate change. Implementing high-welfare systems, such as digital monitoring of animals, can help mitigate climate-related challenges by reducing temperature fluctuations and controlling disease spread.
View Article and Find Full Text PDFEur J Med Chem
January 2025
Medical Research Center, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong, China. Electronic address:
The development of potent glycogen synthase kinase-3β (GSK-3β) inhibitor has been increasingly recognized as the candidate treatment against the multifactorial pathogenic mechanism of Alzheimer's disease (AD). This study prepared various new pyrrolo[2,3-b]pyridine derivatives, evaluated the anti-AD activities and detected the security based on the structure-guided rational design. Our results indicated that many pyrrolo[2,3-b]pyridine derivatives had strong GSK-3β inhibitory activities, particularly compounds 41, 46 and 54, with the half maximal inhibitory concentrations (IC) of 0.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Mines Saint-Etienne, Univ Jean Monnet, Etablissement Francais du Sang, INSERM, U 1059 Sainbiose, Centre CIS, F-42023, Saint-Etienne, France. Electronic address:
The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, but challenges remain, particularly in cardiovascular applications, due to the complexity of parametrising anatomical structures and the need for large training datasets. This study aims to apply statistical shape modelling and machine learning for predicting stent deployment in real time using patient-specific models.
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