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Network pharmacology: curing causal mechanisms instead of treating symptoms

Trends in Pharmacological Sciences · 2021 · Vol. 43(2) · pp. 136–150
Cristian NogalesZeinab M. MamdouhMarkus ListChristina KielAna I. CasasHarald Schmidt

Abstract

For complex diseases, most drugs are highly ineffective, and the success rate of drug discovery is in constant decline. While low quality, reproducibility issues, and translational irrelevance of most basic and preclinical research have contributed to this, the current organ-centricity of medicine and the 'one disease-one target-one drug' dogma obstruct innovation in the most profound manner. Systems and network medicine and their therapeutic arm, network pharmacology, revolutionize how we define, diagnose, treat, and, ideally, cure diseases. Descriptive disease phenotypes are replaced by endotypes defined by causal, multitarget signaling modules that also explain respective comorbidities. Precise and effective therapeutic intervention is achieved by synergistic multicompound network pharmacology and drug repurposing, obviating the need for drug discovery and speeding up clinical translation.

Computational Drug Discovery MethodsBioinformatics and Genomic NetworksBiomedical Text Mining and OntologiesPsychologyCuring (chemistry)PharmacologyMedicineNeurosciencePsychotherapistChemistry

MeSH terms

Network PharmacologyHumansPharmacologyReproducibility of ResultsDrug Discovery

Funding

  • European Commission
  • Horizon 2020 Framework Programme
  • Horizon 2020
Citations
1,062
FWCI
91.55
field-weighted impact
References
120
Percentile
100%
vs. same field & year
Citations per year
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