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 …

TCM network pharmacology: a new trend towards combining computational, experimental and clinical approaches

W Xin, W Zi-Yi, JH Zheng, LI Shao - Chinese journal of natural medicines, 2021 - Elsevier
Traditional Chinese medicine (TCM) is a precious treasure of the Chinese nation and has
unique advantages in the prevention and treatment of diseases. The holistic view of TCM …

[HTML][HTML] Dissecting the single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer

P Zhang, M Yang, Y Zhang, S Xiao, X Lai, A Tan, S Du… - Cell reports, 2019 - cell.com
Intestinal-type gastric cancer is preceded by premalignant lesions, including chronic
atrophic gastritis and intestinal metaplasia. In this study, we constructed a single-cell atlas …

Traditional Chinese medicine network pharmacology: theory, methodology and application

LI Shao, B Zhang - Chinese journal of natural medicines, 2013 - Elsevier
Traditional Chinese medicine (TCM) has a long history of viewing an individual or patient as
a system with different statuses, and has accumulated numerous herbal formulae. The …

Human symptoms–disease network

XZ Zhou, J Menche, AL Barabási, A Sharma - Nature communications, 2014 - nature.com
In the post-genomic era, the elucidation of the relationship between the molecular origins of
diseases and their resulting phenotypes is a crucial task for medical research. Here, we use …

Network medicine: a network-based approach to human disease

AL Barabási, N Gulbahce, J Loscalzo - Nature reviews genetics, 2011 - nature.com
Given the functional interdependencies between the molecular components in a human cell,
a disease is rarely a consequence of an abnormality in a single gene, but reflects the …

Computational/in silico methods in drug target and lead prediction

FE Agamah, GK Mazandu, R Hassan… - Briefings in …, 2020 - academic.oup.com
Drug-like compounds are most of the time denied approval and use owing to the
unexpected clinical side effects and cross-reactivity observed during clinical trials. These …

Performance measures in evaluating machine learning based bioinformatics predictors for classifications

Y Jiao, P Du - Quantitative Biology, 2016 - Springer
Background Many existing bioinformatics predictors are based on machine learning
technology. When applying these predictors in practical studies, their predictive …

Prediction of lncRNA–disease associations based on inductive matrix completion

C Lu, M Yang, F Luo, FX Wu, M Li, Y Pan, Y Li… - …, 2018 - academic.oup.com
Motivation Accumulating evidences indicate that long non-coding RNAs (lncRNAs) play
pivotal roles in various biological processes. Mutations and dysregulations of lncRNAs are …

Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review

P Csermely, T Korcsmáros, HJM Kiss, G London… - Pharmacology & …, 2013 - Elsevier
Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …