Name
Title | ||
|---|---|---|
DrugThatGene: integrative analysis to streamline the identification of druggable genes, pathways, and protein complexes from CRISPR screens. |
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1093/bioinformatics/bty913 | BIOINFORMATICS |
Field | DocType | Volume |
Druggability,Gene,Computer science,Bioinformatics,Computational biology,CRISPR | Journal | 35 |
Issue | ISSN | Citations |
11 | 1367-4803 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew C Canver | 1 | 0 | 0.68 |
| Daniel Bauer | 2 | 0 | 1.35 |
| Takahiro Maeda | 3 | 0 | 0.34 |
| Luca Pinello | 4 | 49 | 7.71 |