Shedding Light on Synergistic Chemical Genetic Connections with Machine Learning

  • Sean Ekins, Jair Lage Siqueira-Neto
  • Cell Systems, December 2015, Elsevier
  • DOI: 10.1016/j.cels.2015.12.005

machine learning to predict synergy

What is it about?

A preview written to describe an article in the journal that used machine learning to predict synergy. I brought up the potential to identify chemical dark matter also the use of CRISPR screens. Finally I describe ultimately how we could discover drugs that can be used synergistically using machine learning.

Why is it important?

The first chemical-genetic machine learning paper was described and prediction of synergism. Groundbreaking work was described.

Perspectives

Dr Sean Ekins
Collaborations in Chemistry

I was asked to write it and was able to get Jair involved. We had recently written a proposal on predicting synergy so the timing was perfect!

Read Publication

http://dx.doi.org/10.1016/j.cels.2015.12.005

The following have contributed to this page: Dr Sean Ekins