Article: [Omics and cell controlling technology for drug discovery].
Nihon yakurigaku zasshi. Folia pharmacologica Japonica
2023 Volume 159, Issue 1, Page(s) 48–52
Abstract: Knowledge Palette, Inc. is a start-up company that aims to overcome incurable diseases by applying the world's most accurate single-cell level and bulk level transcriptome technology to obtain large-scale data on the state of cells treated with various ... ...
Abstract | Knowledge Palette, Inc. is a start-up company that aims to overcome incurable diseases by applying the world's most accurate single-cell level and bulk level transcriptome technology to obtain large-scale data on the state of cells treated with various types of drugs and media, and using this information to highly control cells for improving human health. We are working on new phenotypic drug discovery and higher quality cells for regenerative medicine using big data. As one of its core technologies, the company is utilizing a single-cell-level whole gene expression analysis technology, Quartz-Seq2, which was originally developed in RIKEN. This technology received first place in accuracy of genes detection as well as marker identification, and was ranked No. 1 in overall score in the benchmarking in the international Human Cell Atlas project. By applying this technology to the bulk level analysis of ultra-multiple samples, it has enabled drug screening, analysis of human clinical specimens, and evaluation of numerous culture environments in a high-throughput way. This paper presents an omics-driven drug discovery and cell regulation approach that is combined with large-scale data and artificial intelligence technology. |
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MeSH term(s) | Humans ; Artificial Intelligence ; Technology ; Drug Discovery ; Transcriptome |
Language | Japanese |
Publishing date | 2023-12-14 |
Publishing country | Japan |
Document type | English Abstract ; Journal Article |
ZDB-ID | 1097532-9 |
ISSN | 1347-8397 ; 0015-5691 |
ISSN (online) | 1347-8397 |
ISSN | 0015-5691 |
DOI | 10.1254/fpj.23098 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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