AI gives exact data on drug discovery. It is because of the fact that AI is the universal method, which we can apply in different fields.  Here, the life science should work with AI for their achievement and development in life science.

Hi Tiago, I think what you mean by artificial intelligence is actually machine learning. The two terms are used interchangeably in popular science papers very often, but in my humble opinion mean completely different things. Machine learning is merely a powerful technique and involves really no "intelligence" as one would mistakenly imagine.

AI is the medium to know something, but this does not mean that there is "Intelligence". I agree with you. 

Hello community,  

Recently I attended a talk on the same subject by a researcher at Stanford.  Here is the link to project website.  http://deepchem.io/

They have Python library as well.  I also intuiively think that simulated annealing and genetic algorithms might be helpful.

Hi Tiago,

AI tries to find a pattern or a relationship in a set of data. Hence, it all depends on the data that you have. AI always will find something :). So if you have an inaccuracy data you will end up with unreliable results. If your data is accurate and enough, I dont see any reasons why AI should not be used.

I agree very much. Good data availability is a critical requirement.  That was a take away I got from various forums.

We can make reference to my IEEE transaction paper on EvoMD. A.I. may search for the structures of drug molecules that can attach to virus such as HIV to hinder their actions.