DrugThatGene: integrative analysis to streamline the identification of druggable genes, pathways and protein complexes from CRISPR screens
Year: 2018
Type: article
Abstract: MOTIVATION: The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) nuclease system has allowed for high-throughput, large scale pooled screens for functional genomic studies. To aid in the translation of functional genomics to therapeutics, we developed DrugThatGene (DTG) as a web-based application that streamlines analysis of potential therapeutic targets identified from functional genetic screens. RESULTS: Starting from a gene list as input, DTG offers automated identification of small molecules along with supporting information from human genetic and other relevant databases. Furthermore, DTG aids in the identification of common biological pathways and protein complexes in conjunction with associated small molecule inhibitors. Taken together, DTG aims to expedite the identification of small molecules from the abundance of functional genetic data generated from CRISPR screens. AVAILABILITY AND IMPLEMENTATION: DTG is an open-source and free software available as a website at http://drugthatgene.pinellolab.org. Source code is available at: https://github.com/pinellolab/DrugThatGene, which can be downloaded in order to run DTG locally.
Source: Bioinformatics
Institutions: Harvard University, Massachusetts General Hospital, Center for Cancer Research, Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Kyushu University, Kyushu University Hospital, Broad Institute
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Awards: Discovering disease-causal variants by linking genetic and epigenetic variation, High-throughput discovery of essential noncoding sequences for erythropoiesis, DEVELOPMENTAL BIOLOGY OF HUMAN ERYTHROPOIESIS, Targeting the NuRD complex for fetal globin induction, Identification of sequences and factors required for HbF repression, Identification of Novel Regulators of Fetal Hemoglobin Expression, Epigenetic regulation of BCL11A in the hemoglobin switch, G5795728724, Identification of novel targets for leukemia therapy using genome-wide CRISPR/Cas9 screens, Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human Disease
OpenAlex ID: W2899672494