Ziehm, M; Kaur, S; Ivanov, DK; Ballester, PJ; Marcus, D; Partridge, L; Thornton, JM; (2017) Drug repurposing for aging research using model organisms. Aging Cell , 16 (5) pp. 1006-1015. 10.1111/acel.12626.

Preview	Text Ziehm_et_al-2017-Aging_Cell.pdf - Published Version Download (649kB) | Preview
Preview	Text (Figure 1) Ziehm_Drug_repurposing_aging_research_S1.pdf Download (37kB) | Preview
Preview	Text (Figure 2) Ziehm_Drug_repurposing_aging_research_S2.pdf Download (369kB) | Preview
	Spreadsheet (Table 1) Ziehm_Drug_repurposing_aging_research_S3.xls Download (996kB)
Preview	Text (Table 2) Ziehm_Drug_repurposing_aging_research_S4.pdf Download (538kB) | Preview
	Spreadsheet (Table 3) Ziehm_Drug_repurposing_aging_research_S5.xls Download (257kB)
	Spreadsheet (Table 4) Ziehm_Drug_repurposing_aging_research_S6.xls Download (275kB)
	Text (Data file 1) Ziehm_Drug_repurposing_aging_research_S9.txt Download (2kB)
Preview	Text (Data file 2) Ziehm_Drug_repurposing_aging_research_S10.pdf Download (368kB) | Preview

Abstract

Many increasingly prevalent diseases share a common risk factor: age. However, little is known about pharmaceutical interventions against aging, despite many genes and pathways shown to be important in the aging process and numerous studies demonstrating that genetic interventions can lead to a healthier aging phenotype. An important challenge is to assess the potential to repurpose existing drugs for initial testing on model organisms, where such experiments are possible. To this end, we present a new approach to rank drug-like compounds with known mammalian targets according to their likelihood to modulate aging in the invertebrates Caenorhabditis elegans and Drosophila. Our approach combines information on genetic effects on aging, orthology relationships and sequence conservation, 3D protein structures, drug binding and bioavailability. Overall, we rank 743 different drug-like compounds for their likelihood to modulate aging. We provide various lines of evidence for the successful enrichment of our ranking for compounds modulating aging, despite sparse public data suitable for validation. The top ranked compounds are thus prime candidates for in vivo testing of their effects on lifespan in C. elegans or Drosophila. As such, these compounds are promising as research tools and ultimately a step towards identifying drugs for a healthier human aging.

Download activity - last month

Export as CSVJSONXML

Download activity - last 12 months

Export as JSONXMLCSV

Downloads by country - last 12 months

Export as CSVJSONXML

Archive Staff Only

View Item