Graph theory is applicable for exploring biochemical pathways, and all manner of statistics, ML, and metaheuristics are useful. We can't "code" an organism, un

Graph theory is applicable for exploring biochemical pathways, and all manner of statistics, ML, and metaheuristics are useful. We can't "code" an organism, unfortunately. That won't be possible for some time. Venter has inserted a bacterial genome into a preexisting cell and called it "synthetic life", but this is hyperbole. He essentially just swapped out the operating system if you will. Both the genome and the cell were preexisting. This would be impossible to do for a eukaryotic cell with any of today's technology since we have extremely complicated molecular (genomic) machinery. Not to mention how much of our state information is epigenetic--precise methylation, etc. We certainly cannot create novel proteins outside of fusions between subunits. Protein folding is just way too difficult to solve. If we ever figure it out, society will change overnight. If you would like to study this, get some texts on cell physiology, molecular biology (genetics++), and maybe do some reading on higher level function. Like me you will see that your existing skill set is not immediately transferrable until you learn enough biology: you cannot effectively program in a language until you really know it innately. Biology is the same way, just much, much more sysemitized, complex and abstract. It has a very high barrier to entry (akin to learning Vim, but takes longer.)