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Network pharmacology approach for medicinal plants: review and assessment
Natural products have played a critical role in medicine due to their ability to bind and
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …
Non-coding RNA regulatory networks
It is well established that the vast majority of human RNA transcripts do not encode for
proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A …
proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A …
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data
The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …
increased interest in the inference of cell-cell communication. Many computational tools …
Network medicine framework for identifying drug-repurposing opportunities for COVID-19
The COVID-19 pandemic has highlighted the need to quickly and reliably prioritize clinically
approved compounds for their potential effectiveness for severe acute respiratory syndrome …
approved compounds for their potential effectiveness for severe acute respiratory syndrome …
Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) is a revolutionary technology to determine the
precise gene expression of individual cells and identify cell heterogeneity and …
precise gene expression of individual cells and identify cell heterogeneity and …
Network-based approach to prediction and population-based validation of in silico drug repurposing
Here we identify hundreds of new drug-disease associations for over 900 FDA-approved
drugs by quantifying the network proximity of disease genes and drug targets in the human …
drugs by quantifying the network proximity of disease genes and drug targets in the human …
Integrated intra‐and intercellular signaling knowledge for multicellular omics analysis
Molecular knowledge of biological processes is a cornerstone in omics data analysis.
Applied to single‐cell data, such analyses provide mechanistic insights into individual cells …
Applied to single‐cell data, such analyses provide mechanistic insights into individual cells …
SIGNOR 2.0, the SIGnaling network open resource 2.0: 2019 update
Abstract The SIGnaling Network Open Resource 2.0 (SIGNOR 2.0) is a public repository that
stores signaling information as binary causal relationships between biological entities. The …
stores signaling information as binary causal relationships between biological entities. The …
Computational network biology: data, models, and applications
Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …
biological information from the network concepts are of great significance. Benefiting from …
[HTML][HTML] Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease
Translating human genetic findings (genome-wide association studies [GWAS]) to
pathobiology and therapeutic discovery remains a major challenge for Alzheimer's disease …
pathobiology and therapeutic discovery remains a major challenge for Alzheimer's disease …