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    <responseDate>2026-10-14T17:16:02Z</responseDate>
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    <identifier>10.57760/sciencedb.38154</identifier>
    <datestamp>2026-05-28T17:01:58Z</datestamp>
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  <dc:date>2026-05-28</dc:date>
  <dc:title>Optimization of hepatic metabolic pathway computational model parameters based on multi-omics data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.38154</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>As the core organ of metabolic regulation, the liver's disease state is often accompanied by the reconstruction and dysfunction of metabolic networks, but the specific mechanism has not been systematically revealed. The integration and computational modeling of multiple omics data provide a new research path and theoretical support for the precise reconstruction of metabolic networks and the analysis of pathological mechanisms. Construct a liver metabolic pathway calculation model and optimize parameters based on multi omics data integration to achieve quantitative characterization from health to disease status, reveal the mechanism of liver disease metabolic network reconstruction, identify key regulatory nodes and potential intervention targets.&amp;nbsp;</dc:description>
  <dc:subject>computational physiology; liver metabolism; multi-omics data; systems biology; metabolic pathways; liver disease; biomarkers</dc:subject>
  <dc:creator>Wang Chaoya</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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