
To rationalise drug target selection, we should understand the role of putative targets in biological pathways quantitatively. We review here how experimental and computational network-based approaches can aid more rational drug target selection and illustrate this with results obtained for microbes and for cancer. Comparison of the drug response of biochemical networks in target cells and (healthy) host cells can reveal network-selective targets.
Systems Biology, Computational Biology, Antineoplastic Agents, SDG 3 - Good Health and Well-being, Anti-Infective Agents, Neoplasms, Animals, Humans, Molecular Targeted Therapy
Systems Biology, Computational Biology, Antineoplastic Agents, SDG 3 - Good Health and Well-being, Anti-Infective Agents, Neoplasms, Animals, Humans, Molecular Targeted Therapy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
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