2015
DOI: 10.18632/aging.100799
View full text |Buy / Rent full text
|
Sign up to set email alerts
|

Abstract: As the level of interest in aging research increases, there is a growing number of geroprotectors, or therapeutic interventions that aim to extend the healthy lifespan and repair or reduce aging-related damage in model organisms and, eventually, in humans. There is a clear need for a manually-curated database of geroprotectors to compile and index their effects on aging and age-related diseases and link these effects to relevant studies and multiple biochemical and drug databases. Here, we introduce the first … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
62
0
1

Year Published

2016
2016
2018
2018

Publication Types

Select...
4

Relationship

3
1

Authors

Journals

citations
Cited by 78 publications
(63 citation statements)
references
References 60 publications
(30 reference statements)
0
62
0
1
Order By: Relevance
“…Whereas most studies have focussed on model organisms, one study used the known prolongevity drugs from the Geroprotectors database (Moskalev et al, 2015) and asked whether these could be functional in humans (Aliper et al, 2016). Using young and old human stem cell expression profiles, they calculate a geroprotective score based on the GeroScope algorithm, which scores drugs based on the drug targets and age‐associated expression changes in related pathways (Zhavoronkov, Buzdin, Garazha, Borisov, & Moskalev, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Whereas most studies have focussed on model organisms, one study used the known prolongevity drugs from the Geroprotectors database (Moskalev et al, 2015) and asked whether these could be functional in humans (Aliper et al, 2016). Using young and old human stem cell expression profiles, they calculate a geroprotective score based on the GeroScope algorithm, which scores drugs based on the drug targets and age‐associated expression changes in related pathways (Zhavoronkov, Buzdin, Garazha, Borisov, & Moskalev, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…HAGR focuses mostly on genes, and thus there is a need for a curated database of drugs and compounds that can extend lifespan in model organisms. Existing databases with lifespan‐extending drugs include AgeFactDB (http://agefactdb.jenage.de/) (Huhne et al ., 2014), in turn based on data from HAGR and SAGEWEB (http://sageweb.org/), and Geroprotectors.org (http://geroprotectors.org/) (Moskalev et al ., 2015). DrugAge incorporates data from all these resources and improves on them by providing a more extensive and systematic repertoire of lifespan‐extending drugs, compounds and substances.…”
Section: Discussionmentioning
confidence: 99%
“…Identification of potential geroprotectors will be even more effective with the development of geroprotector criteria, which involves the building of appropriate databases (Moskalev et al ., 2015). A number of additional requirements related to the storage, data format, access control, request processing, etc., in these databases should be met.…”
Section: Identification Of Candidatesmentioning
confidence: 99%
“…(2009) listed 24 geroprotectors known at that time. Today, more than 200 substances belong to this group, each reported to slow aging and/or increase lifespan in a variety of organisms, including yeasts, nematodes, fruit flies, and rodents, according to the Geroprotectors.org database (http://geroprotectors.org/) (Moskalev et al ., 2015). …”
Section: Introductionmentioning
confidence: 99%