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 …

[HTML][HTML] Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

[HTML][HTML] Building a knowledge graph to enable precision medicine

P Chandak, K Huang, M Zitnik - Scientific Data, 2023 - nature.com
Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …

Open graph benchmark: Datasets for machine learning on graphs

W Hu, M Fey, M Zitnik, Y Dong, H Ren… - Advances in neural …, 2020 - proceedings.neurips.cc
Abstract We present the Open Graph Benchmark (OGB), a diverse set of challenging and
realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine …

[HTML][HTML] AI in drug discovery and its clinical relevance

R Qureshi, M Irfan, TM Gondal, S Khan, J Wu, MU Hadi… - Heliyon, 2023 - cell.com
The COVID-19 pandemic has emphasized the need for novel drug discovery process.
However, the journey from conceptualizing a drug to its eventual implementation in clinical …

In silico validation of the non‐antibiotic drugs acetaminophen and ibuprofen as antibacterial agents against red complex pathogens

J Vijayashree Priyadharsini - Journal of periodontology, 2019 - Wiley Online Library
Background Acetaminophen (APAP) and ibuprofen (IB) are drugs commonly used to
alleviate pain due to their anti‐inflammatory, anti‐pyretic, and analgesic effect. The aim of …

STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

D Szklarczyk, AL Gable, D Lyon, A Junge… - Nucleic acids …, 2019 - academic.oup.com
Proteins and their functional interactions form the backbone of the cellular machinery. Their
connectivity network needs to be considered for the full understanding of biological …

The BioGRID interaction database: 2019 update

R Oughtred, C Stark, BJ Breitkreutz, J Rust… - Nucleic acids …, 2019 - academic.oup.com
Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the curation and archival …

Deep learning for drug repurposing: Methods, databases, and applications

X Pan, X Lin, D Cao, X Zeng, PS Yu… - Wiley …, 2022 - Wiley Online Library
Drug development is time‐consuming and expensive. Repurposing existing drugs for new
therapies is an attractive solution that accelerates drug development at reduced …

Multi-omics analyses of airway host–microbe interactions in chronic obstructive pulmonary disease identify potential therapeutic interventions

Z Yan, B Chen, Y Yang, X Yi, M Wei… - Nature …, 2022 - nature.com
The mechanistic role of the airway microbiome in chronic obstructive pulmonary disease
(COPD) remains largely unexplored. We present a landscape of airway microbe–host …