Network pharmacology
By A. Hopkins. Nature Biotechnology, 2007
1,293 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology
View Paper: https://www.semanticscholar.org/paper/74d2909b2e8131b4ef944e29f865959e521109b0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Feixiong Cheng
- Li Xie
- Albert-László Barabási
- Philip E. Bourne
- Lei Xie
- István A. Kovács
- Guanghui Hu
- Pankaj Agarwal
In Molecular Biology
- Feixiong Cheng
- Pankaj Agarwal
- Guanghui Hu
- István A. Kovács
- Li Xie
- Albert-László Barabási
- Pouya Khankhanian
- Sergio E. Baranzini
In Pharmacology
- Feixiong Cheng
- Li Xie
- Albert-László Barabási
- Philip E. Bourne
- Lei Xie
- István A. Kovács
- Guanghui Hu
- Pankaj Agarwal
Citations in the corpus
- Human Disease-Drug Network Based on Genomic Expression Profiles (2009, background): “and a single key can fit multiple locks [4,5].”
- Recon3D: A Resource Enabling A Three-Dimensional View of Gene Variation in Human Metabolism (2018, neutral): “Here, we find that structurally diverse molecules exert similar effects on metabolic pathways, highlighting the potential of Recon3D for drug repurposing and the design of multi-targeted therapies that support a new polypharmacological paradigm in drug research 47,48 .”
- Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine (2023, background): “TCM-NP-related hypotheses and ideas were proposed as early as in 1999 [6], and further developed in 2002 [7], earlier than the concept of ‘network pharmacology’ proposed in 2007 [8].”
- Systematic integration of biomedical knowledge prioritizes drugs for repurposing (2017, background): “Network pharmacology seeks to uncover multiple points of intervention into a specific pathophysiological state that together rehabilitate an otherwise resilient disease process [13,14].”
- Structure-based Systems Biology for Analyzing Off-target Binding (2011, background): “Simply stated, the disappointing outcome of current approaches to drug discovery emphasizes the need to assess and possibly employ a new polypharmacology paradigm [3,4].”
- Network-based prediction of drug combinations (2019, background): “…raised the possibility of moving beyond the “ one-drug, one-target ” paradigm and exploring the “ multiple-drugs, multiple-targets ” possibilities offered by aiming at simultaneously modulating multiple disease proteins within the same disease module, while minimizing toxicity pro fi les 17 – 21 .”
- How Can Synergism of Traditional Medicines Benefit from Network Pharmacology? (2017, background): “Network pharmacology develops molecular drug targets and molecular targets; it targets biological networks and analyzes the links among drugs, targets, and diseases in those networks; the underlying mechanisms of the drugs it uses demolish the biological networks of disease [25,44,45].”