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Ln-MOFs, composed of lanthanide ions and functional organic ligands, are porous materials with tunable structures and unique luminescent properties. However, the interplay between ligand AIE properties and the framework's "antenna effect" on MOF morphology is understudied. Here, Tb-D-Cam-TPTB was synthesized via solvothermal method using TPTB (persulfurated arene) as the primary ligand, D-Cam as the auxiliary ligand, and Tb3+ as the metal ion.

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Lysozyme revisited.

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January 2025

Department of Computational Chemistry, Lund University, Chemical Centre, P.O. Box 124, 221 00 Lund, Sweden; European Spallation Source ESS ERIC, P.O. Box 176, 221 00 Lund, Sweden. Electronic address:

Lysozyme is a model system for crystallographers. In this issue of Structure, Ramos et al. report atomic resolution neutron structures of lysozyme, which unambiguously show the protonation states and hydrogen-bonding networks of the active site.

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Background: The direct and chaperone-associated interactions of E3 ubiquitin ligase CHIP with tau in Alzheimer's disease and other tauopathies, regulates tau turnover, by directly linking it to ubiquitination and proteasomal degradation, as well as through suppression of tau aggregation. Modulation of these CHIP-driven tau clearance mechanisms can be an effective treatment strategy. Antigen-binding antibody fragments (Fabs) are potent tools that can highly-selectively engage target proteins and act as functional probes or inhibitors.

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Basic Science and Pathogenesis.

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December 2024

Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Background: Recent genetic studies have implicated >70 genomic loci associated with the risk for Alzheimer's Disease. However, the underlying functional mechanisms remain unclear. Several functional genomics (FG) methods such as chromosome conformation (CC) capture technologies and expression quantitative trait loci (eQTLs) have been developed to study the genetic targets.

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ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface.

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November 2024

Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, 200032 Shanghai, China.

Proteins can be represented in different data forms, including sequence, structure, and surface, each of which has unique advantages and certain limitations. It is promising to fuse the complementary information among them. In this work, we propose a framework called ProteinF3S for enzyme function prediction that fuses the complementary information across protein sequence, structure, and surface.

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