Results 71 to 80 of about 68,067 (282)
Advanced Science, EarlyView.A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Relevance of A Disintegrin and Metalloproteinase Domain-Containing (ADAM)9 Protein Expression to Bladder Cancer Malignancy [PDF]
, 2022 Moriwaki, Michika +10 more
openalex +3 more sources
The Journal of Poultry ScienceSperm–egg interactions involve a complex series of molecular events. Among these, the acrosome reaction (AR) is a prerequisite for sperm penetration, facilitating the exposure of multiple acrosomal proteins that enhance sperm binding or penetration of ...
Mohamad Shuib Bin Mohamad Mohtar +3 more
doaj +1 more source
A Disintegrin and Metalloprotease (ADAM): Historical Overview of Their Functions
Toxins, 2016 Since the discovery of the first disintegrin protein from snake venom and the following identification of a mammalian membrane-anchored metalloprotease-disintegrin implicated in fertilization, almost three decades of studies have identified additional ...
Nives Giebeler, Paola Zigrino
doaj +1 more source
Biomarker Insights, 2021 Cognitive impairment due to cancer and its therapy is a major concern among cancer patients and survivors. Extracellular vesicle (EVs) composition altered by cancer and chemotherapy may affect neurological processes such as neuroplasticity, potentially ...
Yong Qin Koh +9 more
doaj +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Advanced Science, EarlyView.We have shown that both simulated and actual spaceflight contribute to cartilage degradation in the knees of mice. Using RNA sequencing and bioenergetic profiling, we identified NADPH oxidase 4 (NOX4) as a key factor driving these changes. Additionally, we found that kaempferol, a naturally occurring flavonoid that binds directly to NOX4, reduces ...
Yuesong Yin +23 more
wiley +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Advanced Science, EarlyView.Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Advanced Intelligent Discovery, EarlyView.Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source