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Designing metal sites into de novo proteins has significantly improved, recently. However, identifying the minimal coordination spheres, able to encompass the necessary information for metal binding and activity, still represents a great challenge, today. Here, we test our understanding with a benchmark, nevertheless difficult, case. We assemble into a miniature 28-residue protein, the quintessential elements required to fold properly around a FeCys redox center, and to function efficiently in electron-transfer. This study addresses a challenge in de novo protein design, as it reports the crystal structure of a designed tetra-thiolate metal-binding protein in sub-Å agreement with the intended design. This allows us to well correlate structure to spectroscopic and electrochemical properties. Given its high reduction potential compared to natural and designed FeCys-containing proteins, we exploit it as terminal electron acceptor of a fully artificial chain triggered by visible light.
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http://dx.doi.org/10.1038/s41467-023-37941-8 | DOI Listing |
Cell Biochem Biophys
September 2025
Medical Biotechnology Research Center, School of Paramedical Sciences, Guilan University of Medical Sciences, Rasht, Iran.
In cardiovascular research, melatonin has shown promise in exhibiting antifibrotic properties and modulating endoplasmic reticulum (ER) stress. However, the exact mechanism by which it influences myocardial fibrosis has not been fully clarified. Therefore, this research aimed to investigate the inhibitory effect of melatonin on the progression of myocardial fibrosis through a mechanism involving the BIP/PERK/CHOP signaling pathway, both in silico and in vivo experimental models.
View Article and Find Full Text PDFFood Res Int
November 2025
Medical School of Nantong University, Nantong 226001, China. Electronic address:
Food nutrition and safety are fundamental to the food industry, and the development of appropriate research models is crucial. Unlike traditional animal models, the innovative organoid/organ-on-a-chip model possess distinct human-like characteristics and genomic stability, which have garnered significant attention in food research. In this review, we conduct a comparative analysis between organoids and traditional animal and 2D cell models.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Electronic Science and Engineering, Nanjing University, China. Electronic address:
The Segment Anything Model (SAM) is a cornerstone of image segmentation, demonstrating exceptional performance across various applications, particularly in autonomous driving and medical imaging, where precise segmentation is crucial. However, SAM is vulnerable to adversarial attacks that can significantly impair its functionality through minor input perturbations. Traditional techniques, such as FGSM and PGD, are often ineffective in segmentation tasks due to their reliance on global perturbations that overlook spatial nuances.
View Article and Find Full Text PDFJ Xray Sci Technol
September 2025
Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao, China.
Parkinson's disease (PD) is a challenging neurodegenerative condition often prone to diagnostic errors, where early and accurate diagnosis is critical for effective clinical management. However, existing diagnostic methods often fail to fully exploit multimodal data or systematically incorporate expert domain knowledge. To address these limitations, we propose MKD-Net, a multimodal and knowledge-driven diagnostic framework that integrates imaging and non-imaging clinical data with structured expert insights to enhance diagnostic performance.
View Article and Find Full Text PDFIEEE Trans Autom Sci Eng
January 2025
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Cone beam computed tomography (CBCT) is a widely-used imaging modality in dental healthcare. It is an important task to segment each 3D CBCT image, which involves labeling lesions, bone, teeth, and restorative material on a voxel-by-voxel basis, as it aids in lesion detection, diagnosis, and treatment planning. The current clinical practice relies on manual segmentation, which is labor-intensive and demands considerable expertise.
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