Expanding my brain at #BAAM2019 and occasionally remembering that I used to be a forklift driverpic.twitter.com/krc3FsrWK6
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Math/ML/data-science person now working on solving aging...and helping with COVID19?! Founder, LRI and Daphnia Labs. Married to @oscredwin
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Expanding my brain at #BAAM2019 and occasionally remembering that I used to be a forklift driverpic.twitter.com/krc3FsrWK6
I used to work in manufacturing plants, but now my life is totally different: in biology, the main thing is trying to work with complex interdependent systems whose functions and mechanisms of action are poorly understood, barely documented, and rarely cooperative.
Wait...
A cool fact about biology is that adding "ome" to the end of a word creates a new word that describes the complete functional set of information relating to how that thing exists. For example, a "connectome" is the full graph of all nodes and connections in a brain.
A "proteome" is the complete set of all proteins that get expressed by a particular organism. A "genome" is the complete set of all genes that exist within an organism. Apparently there really is a thing called a "memome". I refuse to acknowledge the existence of it.
Most of the things that occur in biochemistry seem to be fairly simple in terms of their individual components -- ligand ABC modulates enzyme DEF which (something ending in "izes" or "ates") protein GHI into metabolite JKL. This is governed by a nice curve with a simple equation.
As far as I can tell, the reason that you need a big brain to do biochemistry is that there are literally thousands of "this thing does a thing" things, and most of them affect each other. Also, you need bigger words for more precision, like "induce", "modulate", or "catalyze".
There are big existing databases for protein-protein interactions, like STRING. I think it gets messier if you want to include small molecules or distinguish by cell type.
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