Network pharmacology: curing causal mechanisms instead of treating symptoms
For complex diseases, most drugs are highly ineffective, and the success rate of drug
discovery is in constant decline. While low quality, reproducibility issues, and translational …
discovery is in constant decline. While low quality, reproducibility issues, and translational …
On the clinical pharmacology of reactive oxygen species
Reactive oxygen species (ROS) have been correlated with almost every human disease. Yet
clinical exploitation of these hypotheses by pharmacological modulation of ROS has been …
clinical exploitation of these hypotheses by pharmacological modulation of ROS has been …
Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer's …
We developed an endophenotype disease module-based methodology for Alzheimer's
disease (AD) drug repurposing and identified sildenafil as a potential disease risk modifier …
disease (AD) drug repurposing and identified sildenafil as a potential disease risk modifier …
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is
essential for improving therapeutic outcomes. However, current machine-learning-based …
essential for improving therapeutic outcomes. However, current machine-learning-based …
Shaoyao decoction attenuates DSS-induced ulcerative colitis, macrophage and NLRP3 inflammasome activation through the MKP1/NF-κB pathway
Y Wei, Y Fan, Y Ga, Y Zhang, J Han, Z Hao - Phytomedicine, 2021 - Elsevier
Background Shaoyao decoction (SYD), a traditional Chinese medicine prescription that
originated in the **-Yuan Dynasty, has shown effects in treating ulcerative colitis. However …
originated in the **-Yuan Dynasty, has shown effects in treating ulcerative colitis. However …
From single drug targets to synergistic network pharmacology in ischemic stroke
Drug discovery faces an efficacy crisis to which ineffective mainly single-target and symptom-
based rather than mechanistic approaches have contributed. We here explore a mechanism …
based rather than mechanistic approaches have contributed. We here explore a mechanism …
In-silico drug repurposing study predicts the combination of pirfenidone and melatonin as a promising candidate therapy to reduce SARS-CoV-2 infection progression …
From January 2020, COVID-19 is spreading around the world producing serious respiratory
symptoms in infected patients that in some cases can be complicated by the severe acute …
symptoms in infected patients that in some cases can be complicated by the severe acute …
High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need
RE Hughes, RJR Elliott, JC Dawson, NO Carragher - Cell chemical biology, 2021 - cell.com
Conventional thinking in modern drug discovery postulates that the design of highly
selective molecules which act on a single disease-associated target will yield safer and …
selective molecules which act on a single disease-associated target will yield safer and …
NOX5-induced uncoupling of endothelial NO synthase is a causal mechanism and theragnostic target of an age-related hypertension endotype
Hypertension is the most important cause of death and disability in the elderly. In 9 out of 10
cases, the molecular cause, however, is unknown. One mechanistic hypothesis involves …
cases, the molecular cause, however, is unknown. One mechanistic hypothesis involves …
[HTML][HTML] Translating precision medicine for autism spectrum disorder: A pressing need
L Pérez-Cano, SA Chenlo, R Sabido-Vera, F Sirci… - Drug discovery today, 2023 - Elsevier
Autism spectrum disorder (ASD) is a heterogenous group of neurodevelopmental disorders
(NDDs) with a high unmet medical need. Currently, ASD is diagnosed according to behavior …
(NDDs) with a high unmet medical need. Currently, ASD is diagnosed according to behavior …