Demo Data from EDBT 2026 / reviewers in the wild / expert
Ryoku Ito
dblp:424/4492
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene expression analysis |
0.8 | 1 | 2024 | DIRECTEUR: transcriptome-based prediction of small molecules that replace transcription factors for direct cell conversion · Bioinform. 2024 |
Bioinformatics and computational biology
transcriptomics |
0.8 | 1 | 2024 | DIRECTEUR: transcriptome-based prediction of small molecules that replace transcription factors for direct cell conversion · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
transcriptome profiling · 0.8simulated annealing · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | DIRECTEUR: transcriptome-based prediction of small molecules that replace transcription factors for direct cell conversionabstractMOTIVATION: Direct reprogramming (DR) is a process that directly converts somatic cells to target cells. Although DR via small molecules is safer than using transcription factors (TFs) in terms of avoidance of tumorigenic risk, the determination of DR-inducing small molecules is challenging. RESULTS: Here we present a novel in silico method, DIRECTEUR, to predict small molecules that replace TFs for DR. We extracted DR-characteristic genes using transcriptome profiles of cells in which DR was induced by TFs, and performed a variant of simulated annealing to explore small molecule combinations with similar gene expression patterns with DR-inducing TFs. We applied DIRECTEUR to predicting combinations of small molecules that convert fibroblasts into neurons or cardiomyocytes, and were able to reproduce experimentally verified and functionally related molecules inducing the corresponding conversions. The proposed method is expected to be useful for practical applications in regenerative medicine. AVAILABILITY AND IMPLEMENTATION: The code and data are available at the following link: https://github.com/HamanoLaboratory/DIRECTEUR.git. Momoko Hamano, Toru Nakamura, Ryoku Ito, Yuki Shimada, Michio Iwata, Jun-ichi Takeshita, Ryohei Eguchi, Yoshihiro Yamanishi |
Bioinform. | 3 |