Machine learning for synergistic network pharmacology: a comprehensive overview
Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …
understand drug actions and interactions with multiple targets. Network pharmacology has …
Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products
M Kibble, N Saarinen, J Tang, K Wennerberg… - Natural product …, 2015 - pubs.rsc.org
Covering: 2011 to 2014 It is widely accepted that drug discovery often requires a systems-
level polypharmacology approach to tackle problems such as lack of efficacy and emerging …
level polypharmacology approach to tackle problems such as lack of efficacy and emerging …
Network‐based approaches in drug discovery and early development
JM Harrold, M Ramanathan… - Clinical Pharmacology & …, 2013 - Wiley Online Library
Identification of novel targets is a critical first step in the drug discovery and development
process. Most diseases such as cancer, metabolic disorders, and neurological disorders are …
process. Most diseases such as cancer, metabolic disorders, and neurological disorders are …
Network-based drug discovery by integrating systems biology and computational technologies
Network-based intervention has been a trend of curing systemic diseases, but it relies on
regimen optimization and valid multi-target actions of the drugs. The complex multi …
regimen optimization and valid multi-target actions of the drugs. The complex multi …
Network pharmacology: exploring the resources and methodologies
Multi-target and combinatorial therapies have been focused for the past several decades.
These approaches achieved considerable therapeutic efficacy by modulating the activities of …
These approaches achieved considerable therapeutic efficacy by modulating the activities of …
[HTML][HTML] INPUT: An intelligent network pharmacology platform unique for traditional Chinese medicine
The application of network pharmacology has greatly promoted the scientific interpretation of
disease treatment mechanism of traditional Chinese medicine (TCM). However, the data …
disease treatment mechanism of traditional Chinese medicine (TCM). However, the data …
DrugAI: a multi-view deep learning model for predicting drug–target activating/inhibiting mechanisms
Understanding the mechanisms of candidate drugs play an important role in drug discovery.
The activating/inhibiting mechanisms between drugs and targets are major types of …
The activating/inhibiting mechanisms between drugs and targets are major types of …
Rational approaches to targeted polypharmacology: creating and navigating protein–ligand interaction networks
JT Metz, PJ Hajduk - Current opinion in chemical biology, 2010 - Elsevier
Many successful drugs bind to and modulate multiple targets in vivo. Successfully navigating
protein–ligand polypharmacology will be a crucial and increasingly utilized component of …
protein–ligand polypharmacology will be a crucial and increasingly utilized component of …
Network analyses in systems pharmacology
SI Berger, R Iyengar - Bioinformatics, 2009 - academic.oup.com
Abstract Systems pharmacology is an emerging area of pharmacology which utilizes
network analysis of drug action as one of its approaches. By considering drug actions and …
network analysis of drug action as one of its approaches. By considering drug actions and …
Network pharmacology databases for traditional Chinese medicine: review and assessment
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 …
network pharmacology has been developed. This advancement, in turn, has shifted the …