Kenji Mizuguchi

This paper develops an RNA aptamer, 1R6, that targets synuclein and shows therapeutic potential in synucleinopathies by inhibiting aggregation and promoting disaggregation.

The paper identifies molecular components of ALS-associated MetaAggregates using proteomic and in silico methods, revealing 79 candidate proteins and their potential roles in RNA processing and aggregation.

The paper uses machine learning to identify molecular networks and differentially expressed genes distinguishing idiopathic pulmonary fibrosis from lung squamous cell carcinoma.

This study predicts biological age using a DNN model based on steroid metabolic pathways, identifying key markers like cortisol and revealing sex-specific variations in steroid interactions.

This paper develops a Transformer-based model to predict TCR-peptide binding using amino acid sequences and associates attention weights with structural properties.

Snaq automates 16S microbiome data analysis with QIIME2 using a Snakemake pipeline, reducing manual effort and parameter confusion through a single command-line instruction.

The paper uses co-expression analysis to identify gene modules and hub genes associated with COVID19 in platelets, revealing pathways linked to platelet activation and thrombosis.

The paper models the PPAR pathway using a Bayesian approach to identify sub-pathways involved in HFD-induced obesity and suggests potential therapeutic targets.