TY - JOUR
T1 - IdopNetwork as a genomic predictor of drug response
AU - Che, Jincan
AU - Jin, Yuebo
AU - Gragnoli, Claudia
AU - Yau, Shing Tung
AU - Wu, Rongling
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/1
Y1 - 2025/1
N2 - Despite being challenging, elucidating the systematic control mechanisms of multifactorial drug responses is crucial for pharmacogenomic research. We describe a new form of statistical mechanics to reconstruct informative, dynamic, omnidirectional, and personalized networks (idopNetworks), which cover all pharmacogenomic factors and their interconnections, interdependence, and mechanistic roles. IdopNetworks can characterize how cell–cell crosstalk is mediated by genes and proteins to shape body–drug interactions and identify key roadmaps of information flow and propagation for determining drug efficacy and toxicity. We argue that idopNetworks could potentially provide insight into the genomic machinery of drug responses and provide scientific guidance for the design of drugs whose potency is maximized at lower doses.
AB - Despite being challenging, elucidating the systematic control mechanisms of multifactorial drug responses is crucial for pharmacogenomic research. We describe a new form of statistical mechanics to reconstruct informative, dynamic, omnidirectional, and personalized networks (idopNetworks), which cover all pharmacogenomic factors and their interconnections, interdependence, and mechanistic roles. IdopNetworks can characterize how cell–cell crosstalk is mediated by genes and proteins to shape body–drug interactions and identify key roadmaps of information flow and propagation for determining drug efficacy and toxicity. We argue that idopNetworks could potentially provide insight into the genomic machinery of drug responses and provide scientific guidance for the design of drugs whose potency is maximized at lower doses.
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U2 - 10.1016/j.drudis.2024.104252
DO - 10.1016/j.drudis.2024.104252
M3 - Review article
C2 - 39603519
AN - SCOPUS:85211218148
SN - 1359-6446
VL - 30
JO - Drug Discovery Today
JF - Drug Discovery Today
IS - 1
M1 - 104252
ER -