Results 151 to 160 of about 7,244,664 (373)
The application of network formulaology and network pharmacology has significantly advanced the scientific understanding of traditional Chinese medicine (TCM) treatment mechanisms in disease.
Yishu Liu+7 more
doaj +1 more source
A computational study on synaptic and extrasynaptic effects of astrocyte glutamate uptake on orientation tuning in V1 [PDF]
Astrocytes affect neural transmission by a tight control via glutamate transporters on glutamate concentrations in direct vicinity to the synaptic cleft and by extracellular glutamate. Their relevance for information representation has been supported by in-vivo studies in ferret and mouse primary visual cortex.
arxiv
Rod‐shaped particles outperform spherical particles of the same volume in preventing neutrophil infiltration to inflamed areas, both in vitro and in vivo. This therapeutic effectiveness is attributed to better cell targeting and decreased cell motility, resulting from the geometry‐driven phagocytosis and inhibited actin polymerization.
M. Valentina Guevara+7 more
wiley +1 more source
Botanical Drugs, Synergy, and Network Pharmacology: Forth and Back to Intelligent Mixtures [PDF]
Jürg Gertsch
openalex +1 more source
A wireless cortical surface implant employing graphene electrode arrays diagnoses and alleviates Parkinson's disease symptoms in freely moving animals. The device continuously monitors cortical activity and delivers targeted stimulation, restoring beta–gamma and delta oscillations.
Hongseong Shin+15 more
wiley +1 more source
A deep graph model for the signed interaction prediction in biological network [PDF]
Predicting signed interactions in biological networks is crucial for understanding drug mechanisms and facilitating drug repurposing. While deep graph models have demonstrated success in modeling complex biological systems, existing approaches often fail to distinguish between positive and negative interactions, limiting their utility for precise ...
arxiv
Expanding Precompetitive Multisector Collaborations to Advance Drug Development and Pharmacogenomics. [PDF]
Do, Thao P+7 more
core +2 more sources
This study introduces a novel chitosan‐based nanocarrier functionalized with a neurotropic protein for efficient siRNA delivery to neurons. The polyplexes demonstrate enhanced neuronal binding, retrograde transport, and PTEN silencing, promoting axonal outgrowth.
Ana P. Spencer+10 more
wiley +1 more source
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology [PDF]
Physics-Informed Kolmogorov-Arnold Networks (PIKANs) are gaining attention as an effective counterpart to the original multilayer perceptron-based Physics-Informed Neural Networks (PINNs). Both representation models can address inverse problems and facilitate gray-box system identification. However, a comprehensive understanding of their performance in
arxiv
The efficiency of multi-target drugs: the network approach might help drug design
Despite considerable progress in genome- and proteome-based high-throughput screening methods and rational drug design, the number of successful single target drugs did not increase appreciably during the past decade.
Agoston, Vilmos+2 more
core +1 more source