Monday, May 30, 2016

Deep Neural Networks: New Drug Discovery To Repurposing

Yet another exciting paper published by InSilico Inc in addition to their work on developing the model based on Deep Neural Networks on the prediction of human age... (paper can be downloaded here). Summary of the work can be seen in our previous blog posts here

This month paper was published about the use of Deep Neural Networks (DNN) in new drug discovery and repurposing using transcriptomic data.

The paper got recently published in Molecular Pharmaceutics....... can be downloaded from here

Deep learning is an artificial intelligence (AI). It utilises higher level or multilayer of the neuron to model the high level of abstraction of data. 

The paper published clearly shows that AI neural network was able to predict the therapeutic use of a large number of medicine depending on gene expression data that is obtained from high-throughput experiments on human cell lines.

The significance of the work got recently published in Eureka News Alert

Image from Paper that Shows Training of DNN for Drug Discovery
The study uses 678 drugs affecting A549, MCF-7 and PC-3 cell lines from LINCS library developed by NIH that is linked to 12  therapeutic categories established by MeSH (Medical Subject Heading). The library is maintained by NLM. So basically researchers trained DNN by utilising both  transcriptomic data using a scoring algorithm for samples that are perturbed with different concentration of the drug after 6 or 24 hours. The cross-validation of the model showed that DNN achieved 54.6% accuracy in correctly predicting one out of 12 therapeutic categories for each drug. Interestingly, a large number of the drugs that were misclassified by DNN was found to have dual therapeutic utility. This suggests that may be the confusion matrix used for DNN can be used for drug repurposing

This is the first study where DNN based model was developed on the basis of transcriptomic data for predicting the therapeutic use of the drug. Hence, it was proof of concept study that DNNs can be used for annotation of drugs using transcriptomic signatures. Hence, they used this finding to progress towards the development of a pipeline program in order to accelerate the preclinical of drugs for most any therapeutic category. They believe that if this technique can be extrapolated to invite signatures then maybe this can double the number of molecules in drug discovery studies. 


  1. They're extremely knowledgeable and helpful here. I never feel like they're being condescending with me or like I'm asking a dumb question. kratom sensation product is amazing and always the same good quality. The customer service is phenomenal, and the staff work hard to satisfy every one of their customers. I give them the highest recommendation…

  2. This comment has been removed by the author.

  3. A-1 Auto Transport inc is great. I've utilized their company three times over the past couple of years to ship my vehicles both to and from California original site. Every time I got my car within the exact same condition I remaining it, would definitely recommend A-1 Auto Transport as well as A-1 AUTO TRANSPORT Car Shipping to anyone looking to ship their vehicle.

  4. Wow. Just one word for them Splendid!! I have seen many sites in my whole life but have never seen anything like this! It is amazingly beautiful! You should also consider them.Family Fitness Food

  5. We feel the values, ethics, and variety are a proper property that enhances the capability to generate a comprehensive customer targeted service..fundraising consultant

  6. One day, she made the mistake of writing a date on the forged prescription that happened to be a Sunday. The pharmacist became suspicious and confronted her about it. She quickly left the store. He called the iqos heets

  7. This comment has been removed by the author.

  8. This comment has been removed by the author.

  9. This is one of the most important blogs that I have seen, keep it up!
    branding agencies SF