Publications by authors named "Satoko Namba"
Motivation: Identifying effective therapeutic targets poses a challenge in drug discovery, especially for uncharacterized diseases without known therapeutic targets (e.g. rare diseases, intractable diseases).
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- - The study introduces SyndrumNET, a new computational method designed to predict synergistic drug combinations by analyzing the interactions between drugs and diseases through network propagation and trans-omics analyses.
- - After applying SyndrumNET to six diseases, it showed higher accuracy than previous methods, with 14 out of 17 predicted drug pairs demonstrating effective synergy in cancer treatment during validation, particularly in chronic myeloid leukemia (CML).
- - The findings suggest that SyndrumNET could significantly aid in identifying effective drug combinations for managing complex diseases, highlighting the importance of pathway regulation in drug synergy.
Background: Novel biomarkers (BMs) are urgently needed for bronchial asthma (BA) with various phenotypes and endotypes.
Objective: We sought to identify novel BMs reflecting tissue pathology from serum extracellular vesicles (EVs).
Methods: We performed data-independent acquisition of serum EVs from 4 healthy controls, 4 noneosinophilic asthma (NEA) patients, and 4 eosinophilic asthma (EA) patients to identify novel BMs for BA.
Motivation: A critical element of drug development is the identification of therapeutic targets for diseases. However, the depletion of therapeutic targets is a serious problem.
Results: In this study, we propose the novel concept of target repositioning, an extension of the concept of drug repositioning, to predict new therapeutic targets for various diseases.