Mapping, modeling, and indexing a cell's structure is a very different problem than indexing hyperlink structure on the internet. A wholesale computational mod

Mapping, modeling, and indexing a cell's structure is a very different problem than indexing hyperlink structure on the internet. A wholesale computational model of the cell is an incredibly ambitious task to achieve via a broad, unfocused approach to building a chem-concentration database. The main issue they would face is in your bullet #1: What is your "Pagerank" for cell structure and chem-concentration analysis, what/who do you put your weight behind? How do you merge these data sets? This research is distributed in labs all over the planet with different quality standards, research objectives, lab conditions, data hygiene, statistical significance, etc. What you've written seems like a plausible approach in a pure research setting within a single lab, but if their end goal is a computational model of the cell with commercial side-effects along the way-- the best way to achieve that would be to chip away at it piecemeal. Not through an unfocused merger of cell "big data". E.g. identify specific protein binding sites and conformations that correlate with a specific type of breast cancer, track their conformations under different conditions--- prove that your data is superior to data yielded by existing models. Of course, you would also have to monetize somehow. The specific thing you chose is less important than not attempting to paint the whole model at once.