A detailed workflow for recombinant GALC production and characterization is presented to support enzyme replacement therapy for Krabbe disease. In vitro assays demonstrate that physiological GALC doses restore enzymatic activity and autophagic flux without affecting cell viability, whereas higher doses impair autophagy and reduce viability.
Ambra Del Grosso+5 more
wiley +1 more source
Correction: Dolashki et al. Antimicrobial Activities of Different Fractions from Mucus of the Garden Snail <i>Cornu aspersum</i>. <i>Biomedicines</i> 2020, <i>8</i>, 315. [PDF]
Dolashki A+7 more
europepmc +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Retraction Note: Myeloid-derived growth factor (MYDGF) protects bone mass through inhibiting osteoclastogenesis and promoting osteoblast differentiation. [PDF]
Xu X+13 more
europepmc +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
EZH2 mutations increase the heterogeneity of chromatin states in lymphoma. [PDF]
Holoch D, Margueron R.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Conformal prediction for uncertainty quantification in dynamic biological systems. [PDF]
Portela A, Banga JR, Matabuena M.
europepmc +1 more source
THE VALIDITY OF GENERAL BIOLOGY LEARNING EQUIPMENT BASED ON CASE METHOD AND PROJECT BASED LEARNING
Dina Handayani+5 more
openalex +1 more source