2023
DOI: 10.1080/07391102.2023.2196698
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Prediction of resveratrol target proteins: a bioinformatics analysis

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Cited by 6 publications
(1 citation statement)
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“…This transformation involves the integration of high-throughput data and machine learning techniques, enabling the retrospective identification of key proteins implicated in drug-induced transcriptomic and proteomic changes [23,24]. Furthermore, approaches based on protein-protein interaction networks, drug-target networks, and disease-gene networks have contributed to improving our understanding of protein-protein interaction mechanisms [25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…This transformation involves the integration of high-throughput data and machine learning techniques, enabling the retrospective identification of key proteins implicated in drug-induced transcriptomic and proteomic changes [23,24]. Furthermore, approaches based on protein-protein interaction networks, drug-target networks, and disease-gene networks have contributed to improving our understanding of protein-protein interaction mechanisms [25][26][27].…”
Section: Introductionmentioning
confidence: 99%