According to the Hindu tradition a Mantra is a sound, syllable, word or group of
words capable of creating “spiritual transformation”.
Mode of Action by NeTwoRk
Analysis (MANTRA) is a computational tool for the analysis of the Mode of Action
(MoA) of novel drugs and the identification of known and approved candidates for
“drug repositioning”. It is based on network theory and non-parametric
statistics on gene expression data. In order to study a novel drug users have to
give to MANTRA one or more genome-wide ranked list of genes sorted according to
their differential expression in a treatment with the drug. On the basis of this
input, MANTRA automatically integrates this novel drug in a huge network of
compounds in which the topology reveals similarities and differences in MoA. To
make novel hypothesis on known and FDA approved drugs, hence to find
“repositionable drugs”, users have just to explore this drug network.
transforms the information hidden in a microarray experiment into a meaningful
landscape of drugs providing an “enlightened” view of them.
Tools and Informations
The MANTRA analysis framework is implemented as a set of MATLAB functions. The
online version of MANTRA has been integrated in a customized version of the
MEDUSA visualization system (a front-end to the STRING protein interaction
MANTRA is maintained by di Bernardo Lab members at TeleThon Institute of
Genetics and Medicine (TIGEM). MANTRA has been developed by Francesco Iorio. The
method has been conceived by Francesco Iorio and Diego di Bernardo.
Contribute to MANTRA expansion
Your experimental data could be permanently integrated in the Drug Network of
future MANTRA releases. Please contact us for further informations.
How to cite Mantra
Iorio F, Bosotti R, Scacheri E, Belcastro V, Mithbaokar P, Ferriero R, Murino L,
Tagliaferri R, Brunetti-Pierri N, Isacchi A, di Bernardo D. Discovery of
drug mode of action and drug repositioning from transcriptional responses.
Proc Natl Acad Sci U S A, 2010 August 17; 107: 1462-14626. Online Supporting Information (SI)