Results 111 to 120 of about 45,859 (253)
Embryonic amoxicillin exposure disrupts multi‐organ development in zebrafish larvae through a lncRNA–metabolic enzyme regulatory axis. PCALRx associates with pyruvate carboxylase, promotes PC protein ubiquitination, and impairs mitochondrial energy metabolism, while vitamin B1 partially restores PC‐centered metabolic function and developmental outcomes.
Yixue Yao +5 more
wiley +1 more source
Drug repurposing in status epilepticus
The treatment of status epilepticus (SE) has changed little in the last 20 years, largely because of the high risks and costs of new drug development for SE. Moreover, SE poses specific challenges to drug development, such as patient diversity, logistical hurdles, and the need for acute treatment strategies that differ from chronic seizure prevention ...
openaire +2 more sources
Receptogenesis in a Vascularized Robotic Embodiment
Functional augmentation of situated robots via ex novo hardware generation extends physical adaptability. Drawing inspiration from open circulatory systems for mass and function redistribution, this study presents a vascularized robotic composite exhibiting receptogenesis ‐ the on‐demand construction of sensors ‐ from internal fluid reserves based on ...
Kadri‐Ann Pankratov +8 more
wiley +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Editorial: Molecular modeling in drug repurposing. [PDF]
Filipe HAL +3 more
europepmc +1 more source
Therapy for Myhre Syndrome: Goals, Misconceptions, and Current Agents
ABSTRACT Myhre Syndrome (MYHRS, MIM #139210) is a rare, multisystem connective tissue disorder caused by recurrent heterozygous gain‐of‐function pathogenic variants in the SMAD4 gene, a key player in TGF‐β signaling and a regulator of extracellular matrix homeostasis.
Alessandro De Falco +2 more
wiley +1 more source

