https://www.selleckchem.com/products/hrs-4642.html The abnormalities in human metabolism have been implicated in the progression of several complex human diseases, including certain cancers. Hence, deciphering the underlying molecular mechanisms associated with metabolic reprogramming in a disease state can greatly assist in elucidating the disease aetiology. An invaluable tool for establishing connections between global metabolic reprogramming and disease development is the genome-scale metabolic model (GEM). Here, we review recent work on the reconstruction of cell/tissue-type and cancer-specific GEMs and their use in identifying metabolic changes occurring in response to liver disease development, stratification of the heterogeneous disease population and discovery of novel drug targets and biomarkers. We also discuss how GEMs can be integrated with other biological networks for generating more comprehensive cell/tissue models. In addition, we review the various biological network analyses that have been employed for the development of efficient treatment strategies. Finally, we present three case studies in which independent studies converged on conclusions underlying liver disease. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email journals.permissions@oup.com.The development of a new hydrogen bonding reinforced factor is of importance for the design and application of supramolecular hydrogels. Herein, we use a new reinforced factor, imidazolidinyl urea (IU), for the construction of hydrogen bonding supramolecular hydrogels. Poly(ethylene glycol) (PEG), three types of diisocyanates (isophorone diisocyanate (IPDI), 4,4'-methylene bis(cyclohexyl isocyanate) (HMDI) and 4,4'-methylene bis(phenyl isocyanate) (MDI)) and IU were employed to synthesize a series of polymers through hydroxyl-isocyanate chemistry. We found that increased IU content and hydrophobicity of the diisocyanates led to a higher gel-sol t