Results 151 to 160 of about 7,244,664 (373)

TCMNPAS: a comprehensive analysis platform integrating network formulaology and network pharmacology for exploring traditional Chinese medicine

open access: yesChinese Medicine
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]

open access: yesarXiv, 2017
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 Polymerized Salicylic Acid Particles Modulate Neutrophil Transendothelial Migration in Acute Inflammation

open access: yesAdvanced Healthcare Materials, EarlyView.
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

A Wireless Cortical Surface Implant for Diagnosing and Alleviating Parkinson's Disease Symptoms in Freely Moving Animals

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yesarXiv
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]

open access: yes, 2020
Do, Thao P   +7 more
core   +2 more sources

Engineered Chitosan‐Derived Nanocarrier for Efficient siRNA Delivery to Peripheral and Central Neurons

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yesarXiv
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

open access: yes, 2005
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

Home - About - Disclaimer - Privacy