Question: Standard pipeline for drug target discovery and identification
0
gravatar for Shicheng Guo
13 months ago by
Shicheng Guo8.5k
Shicheng Guo8.5k wrote:

Hi All,

Anyone can share some ideas or suggestions on the Standard pipeline for drug target identification. What kinds of biotechniques were most sucessfully applied in drug target identification and what kinds of bioinformatics pipeline are used in drug target discovery and identification.

Thanks.

ADD COMMENTlink modified 12 months ago by Denise CS5.1k • written 13 months ago by Shicheng Guo8.5k
2
gravatar for dsull
12 months ago by
dsull1.7k
UCLA
dsull1.7k wrote:

Here are some ideas:

  1. Drug-Gene interaction database (to probe the druggable genome): http://dgidb.org/
  2. EnrichR (which has some drug-related features for gene lists): https://amp.pharm.mssm.edu/Enrichr/
  3. DepMap (type in a gene, it'll give you RNAi/CRISPR screen results quantifying the essentiality of that gene across various cancer cell lines): https://depmap.org/portal/
  4. CanSar (gives you druggability information about a gene of interest): https://cansarblack.icr.ac.uk/
ADD COMMENTlink written 12 months ago by dsull1.7k
2
gravatar for Denise CS
12 months ago by
Denise CS5.1k
UK, Hinxton, EMBL-EBI
Denise CS5.1k wrote:

Not sure what you mean by "standard pipeline for drug target identification"??!?! I'd recommend this review for more details. Lately, there is a lot of focus on looking at genetics as genetic variants (both common and rare) seems to be a good predictor for approved drug indications (see the original paper by Nelson et al in Nature Genetics). In addition to genetics (and functional genomics) now used to guide drug target identification, there is a lot of hype on machine learning algorithms (and other types of AI) as well both for new discovery and repurposing opportunities. Check this perspective piece.

In addition to the ideas provided above by @dsull, you may also want to check Open Targets Platform and Open Targets Genetics, easy to use resources for target identification with a variety of integrated data from germline variants, to somatic mutations, drugs in clinical trials (or already approved), differential mRNA expression, text mining, functional genomics, and gene essentiality data using CRISPR-CAS9 in cancer cell lines...

These resources are part of the Open Targets public-private partnership and the gene essentiality data is akin to the DepMap at the Broad, so much so that our Sanger colleagues have just published a comparison of the gene essentiality data with our colleagues at the Broad Institute showing a remarkable agreement between the two datasets

Note that for both resources, Open Targets Genetics and Open Targets Platform, there are programmatic ways to access the data, in addition to the easy-to-use GUI. Check the docs for the Open Targets Platform REST API and Open Targets Genetics GraphiQL.

ADD COMMENTlink written 12 months ago by Denise CS5.1k
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