Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula

L Zhao, H Zhang, N Li, J Chen, H Xu, Y Wang… - Journal of …, 2023 - Elsevier
Ethnopharmacological relevance Network pharmacology is a new discipline based on
systems biology theory, biological system network analysis, and multi-target drug molecule …

Network pharmacology databases for traditional Chinese medicine: review and assessment

R Zhang, X Zhu, H Bai, K Ning - Frontiers in pharmacology, 2019 - frontiersin.org
The research field of systems biology has greatly advanced and, as a result, the concept of
network pharmacology has been developed. This advancement, in turn, has shifted the …

2019 HRS expert consensus statement on evaluation, risk stratification, and management of arrhythmogenic cardiomyopathy

JA Towbin, WJ McKenna, DJ Abrams, MJ Ackerman… - Heart rhythm, 2019 - Elsevier
Arrhythmogenic cardiomyopathy (ACM) is an arrhythmogenic disorder of the myocardium
not secondary to ischemic, hypertensive, or valvular heart disease. ACM incorporates a …

Pan-genomics in the human genome era

RM Sherman, SL Salzberg - Nature Reviews Genetics, 2020 - nature.com
Since the early days of the genome era, the scientific community has relied on a single
'reference'genome for each species, which is used as the basis for a wide range of genetic …

Applications of network pharmacology in traditional Chinese medicine research

Z Zhou, B Chen, S Chen, M Lin, Y Chen… - Evidence‐Based …, 2020 - Wiley Online Library
Human diseases, especially infectious ones, have been evolving constantly. However, their
treatment strategies are not develo** quickly. Some diseases are caused by a variety of …

The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins

AD Rouillard, GW Gundersen, NF Fernandez… - Database, 2016 - academic.oup.com
Genomics, epigenomics, transcriptomics, proteomics and metabolomics efforts rapidly
generate a plethora of data on the activity and levels of biomolecules within mammalian …

Drug repositioning based on the heterogeneous information fusion graph convolutional network

L Cai, C Lu, J Xu, Y Meng, P Wang, X Fu… - Briefings in …, 2021 - academic.oup.com
In silico reuse of old drugs (also known as drug repositioning) to treat common and rare
diseases is increasingly becoming an attractive proposition because it involves the use of de …

Drug repositioning based on comprehensive similarity measures and bi-random walk algorithm

H Luo, J Wang, M Li, J Luo, X Peng, FX Wu… - …, 2016 - academic.oup.com
Motivation: Drug repositioning, which aims to identify new indications for existing drugs,
offers a promising alternative to reduce the total time and cost of traditional drug …

Rare and common variants: twenty arguments

G Gibson - Nature Reviews Genetics, 2012 - nature.com
Genome-wide association studies have greatly improved our understanding of the genetic
basis of disease risk. The fact that they tend not to identify more than a fraction of the specific …

Computational drug repositioning using low-rank matrix approximation and randomized algorithms

H Luo, M Li, S Wang, Q Liu, Y Li, J Wang - Bioinformatics, 2018 - academic.oup.com
Motivation Computational drug repositioning is an important and efficient approach towards
identifying novel treatments for diseases in drug discovery. The emergence of large-scale …