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Keras and Tensorflow meet protein biotechnology — testing dSPP for public release

by Kamil TamiolaMay 1st, 2017

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I am exceptionally pleased and excited to share this short work update. We have finalised and are currently testing dSPP — <strong>the first protein machine learning database</strong>. Our resource, currently under peer-review, will facilitate the access to <a href="https://hackernoon.com/tagged/machine-learning" target="_blank">machine learning</a> ready protein data for <strong>7000+ high value medical targets</strong>, including protein involved in Zika virus, HIV, Alzheimer’s, Parkinson’s, p53 mutants, human prion proteins, and many others.

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featured image - Keras and Tensorflow meet protein biotechnology — testing dSPP for public release

Zika virus Source: http://www.etimesnow.com/wp-content/uploads/2016/04/Zika.jpg

I am exceptionally pleased and excited to share this short work update. We have finalised and are currently testing dSPP — the first protein machine learning database. Our resource, currently under peer-review, will facilitate the access to machine learning ready protein data for 7000+ high value medical targets, including protein involved in Zika virus, HIV, Alzheimer’s, Parkinson’s, p53 mutants, human prion proteins, and many others.

We are beta-testing user interface and UX. I attach an example for Zika virus NS3 protease fragment search. Please note the Machine learning section, and various interactive data representations for Keras and Google’s Tensorflow.