Overview of the Knowledge Management Center for Illuminating the Druggable Genome
Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt
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The Knowledge Management Center (KMC) for the Illuminating the Druggable Genome (IDG) project aims to aggregate, update, and articulate protein-centric data knowledge for the entire human proteome, with emphasis on the understudied proteins from the three IDG protein families. KMC collates and analyzes data from over 70 resources to compile the Target Central Resource Database (TCRD), which is the web-based informatics platform (Pharos). These data include experimental, computational, and text-mined information on protein structures, compound interactions, and disease and phenotype associations. Based on this knowledge, proteins are classified into different Target Development Levels (TDLs) for identification of understudied targets. Additional work by the KMC focuses on enriching target knowledge and producing DrugCentral and other data visualization tools for expanding investigation of understudied targets.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 103882 |
| Tidsskrift | Drug Discovery Today |
| Vol/bind | 29 |
| Udgave nummer | 3 |
| Antal sider | 8 |
| ISSN | 1359-6446 |
| DOI | |
| Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:
We would like to acknowledge our various team members throughout the years who have contributed to the success of KMC (U24CA224370). Furthermore, we are grateful for the fruitful discussions and engagements with all the IDG program awardees and IDG NIH staff, which have enriched our understanding of these data sets and allowed for more constructive data analysis products. This work was supported, in part, by the National Center for Advancing Translational Sciences, NIH (ZICTR000410–03). During the preparation of this work, the author(s) used OpenAI to edit already written text. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.
Funding Information:
We would like to acknowledge our various team members throughout the years who have contributed to the success of KMC ( U24CA224370 ). Furthermore, we are grateful for the fruitful discussions and engagements with all the IDG program awardees and IDG NIH staff, which have enriched our understanding of these data sets and allowed for more constructive data analysis products. This work was supported, in part, by the National Center for Advancing Translational Sciences , NIH ( ZICTR000410–03 ).
Publisher Copyright:
© 2024 The Author(s)
ID: 382499946