DREIMT: exploring the druggable immune system

We are pleased to announce the publication of DREIMT: a bioinformatics tool for hypothesis generation and prioritization of drugs capable of modulating immune cells activity. At this moment, DREIMT integrates 4690 drug profiles from The Library of Network-Based Cellular Signatures (LINCS) L1000 dataset and 2,700 manually curated immune gene expression signatures to generate a compendium of drug-immune signature associations. From BU we would like to thanks the SING group and all our collaborators for making it possible!


The full article has been published at Bioinformatics and is available here.