[HTML][HTML] Network pharmacology approach for medicinal plants: review and assessment

F Noor, M Tahir ul Qamar, UA Ashfaq, A Albutti… - Pharmaceuticals, 2022 - mdpi.com
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 …

Non-coding RNA regulatory networks

S Panni, RC Lovering, P Porras, S Orchard - Biochimica et biophysica acta …, 2020 - Elsevier
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 …

[HTML][HTML] Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data

D Dimitrov, D Türei, M Garrido-Rodriguez… - Nature …, 2022 - nature.com
The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Network medicine framework for identifying drug-repurposing opportunities for COVID-19

D Morselli Gysi, Í Do Valle, M Zitnik… - Proceedings of the …, 2021 - National Acad Sciences
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 …

[HTML][HTML] Network-based approach to prediction and population-based validation of in silico drug repurposing

F Cheng, RJ Desai, DE Handy, R Wang… - Nature …, 2018 - nature.com
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 …

SIGNOR 2.0, the SIGnaling network open resource 2.0: 2019 update

L Licata, P Lo Surdo, M Iannuccelli… - Nucleic acids …, 2020 - academic.oup.com
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 …

Integrated intra‐and intercellular signaling knowledge for multicellular omics analysis

D Türei, A Valdeolivas, L Gul… - Molecular systems …, 2021 - embopress.org
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 …

[HTML][HTML] Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data

J Xu, J Xu, Y Meng, C Lu, L Cai, X Zeng, R Nussinov… - Cell Reports …, 2023 - cell.com
Single-cell RNA sequencing (scRNA-seq) is a revolutionary technology to determine the
precise gene expression of individual cells and identify cell heterogeneity and …

Computational network biology: data, models, and applications

C Liu, Y Ma, J Zhao, R Nussinov, YC Zhang, F Cheng… - Physics Reports, 2020 - Elsevier
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 …

[HTML][HTML] A genome-wide positioning systems network algorithm for in silico drug repurposing

F Cheng, W Lu, C Liu, J Fang, Y Hou, DE Handy… - Nature …, 2019 - nature.com
Recent advances in DNA/RNA sequencing have made it possible to identify new targets
rapidly and to repurpose approved drugs for treating heterogeneous diseases by the …