Korean systems biology and biotechnology research

Resources for systems biology research

Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data

Proteomic analysis for the effects of non-saponin fraction with rich polysaccharide from Korean red ginseng on Alzheimer's disease in a mouse model

Comparative genomic analysis of Streptomyces rapamycinicus NRRL 5491 and its mutant overproducing rapamycin

Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models

Systems metabolic engineering of Streptomyces venezuelae for the enhanced production of pikromycin

Predicting dynamic clinical outcomes of the chemotherapy for canine lymphoma patients using a machine learning model

Predicting biochemical and physiological effects of natural products from molecular structures using machine learning

Omics and computational modeling approaches for the effective treatment of drug-resistant cancer cells