>This sounds like a huge slog, and it is amazing that the method works. Thanks to programming, a lot of this is automated. In Biology, you can use programmabl

>This sounds like a huge slog, and it is amazing that the method works. Thanks to programming, a lot of this is automated. In Biology, you can use programmable robotics arm that perform thousands of experiments (high-throughput screening). So for CRISPR, suppose you want to test the thousand genetic variation identified previously computationally for a particular cancer; you can take a cancer cell-line, apply gene-editing targeted at each of those sites each in a slot in a 96 plate-well and observe if the cancer cells' tumor growth. These 96 plate-wells are then fed into image analysis program to quantify the tumor growth. >Is our understanding of protein folding still inadequate? Or would reconstructing a protein's physical structure still not give us enough insight into its intended function? The field that simulate protein-to-protein simulation is called MD (molecular dynamics) simulation. The issue is the simulation is really complex. So you start at the molecular level, whether one protein can attach to another protein's end like Lego's, then you have to account for the individual cellular level, called cell circuits (modeling an individual cell like a logic circuit, different genes producing proteins that regulate one another), then you have to account for the multicellular interactions (how cells influence another). Instead of trying to simulate everything, you have people comparing and studying things at different level.