For the rest of us who are interested in these fields of computational biology and protein engineering, and are currently in the field of AI in some capacity, how did you transfer into the new fields? Did you have to do a Masters or PhD or do some certificates to acquire and demonstrate your required background knowledge in biology? Any advice you have is welcome.
Perhaps the best explanation-animation combination I have ever watched around the central dogma of molecular biology. I wish I could like this video a million times. Thank you Xander.
This is a great introduction to molecular biology! I knew that the shape of a protein defines its behavior, but now I know how proteins are produced by ribosomes that read the messenger RNA produced at the RNA polymerase. Thanks!
As a person shifting career from data science to bioinformatics, I found this video very helpful & amazingly animated! Hope to see more stuff related to computational biology & AI applications in that
Great video. That comparison between motor proteins and cars is not a great one. Cars are highly inefficient mainly because combustion is highly inefficient. Most cars (internal combustion engines) are about 25% efficient - so 3/4 of the chemical energy is lost as heat. Electric vehicles by contrast are highly efficient, in the order of 90%.
Fantastic video! I'm very glad to have watched the Stanford Robert Sapolsky lecture intros to human behavioural biology on RU-vid. Gave a lot of helpful pre context to this video, and just been generally incredibly helpful. Have you seen them? They're arranged as a survey and critique of various ladders on life's abstractions for a wider working understanding of how molecular biology may interact with the other scopes of biology.
A quick question how does the body know of all the millions of viruses or cells which ones are foreign, from a molecular point of view don't they all look the same ( composed of the same basic elements ).
Welcome back. As usual, amazing content. Thanks! I also wanted to say: Please keep alive the Reinforcement Learning series. It is still one of the best available on all youtube!
I have a mathematical and computational background and I feel this is the century of biology ! I would absolutely love to work in protein design, and I'm very glad to see that my fascination and excitement for this subject are shared by many.
Great work. Thanks for sharing and looks more deep videos are on the way. In terms of software development, looks like there is a function f(x,y,z,t, E(x,y,z)) we need to find at any point. W is electric field. Also stability is not end up in one single point. More like oscillates around that point (s). Good channeling for ML(machine learning) if you consider that as a black box.
Thanks for making these concrete for non-biochemistry people - normally such videos are kept far too abstract or high level. Thanks again, looking forward to future videos
Your videos are absolutely amazing. What I really appreciate is the level of detail you get into. There are a number of other channels but your's is the only one I have found that strikes the perfect balance. Detailed enough to be practically useful while still being easily understandable! I know most of the biological systems you described in this intro but still this video inspired multiple new insights and questions. Thank you and welcome back!
Not much more than this video to get started and apply existing models like eg protein structure prediction. But def a bit more if you want to dive deeper and try some new things like binding, protein-protein interaction, protein design, ... This video is meant as a trigger for people to go "hmmm that actually sounds interesting, I might wanna learn more about this stuff!"
13:48 - It's Kurzgesagt, with an s. Sagen means to say, kurz means short/briefly. Kurzgesagt is literally "briefly said" so it means "put briefly" or "in a nutshell"
4:09 “billions of years” - didn’t the first life show up in the fossil record as soon as the earth cooled. So it’s more like a few million years rather than a few billion years.
you contradict yourself, the earth cooled and oceans formed 4.5 billion years ago, so first life forms are about 4 billion years ago. Few million years ago are first Hominidae!
I'd say that statement about "4 times more efficient" is [citation needed]. While I can believe that's referring to something like chainsaw of model motors, modern car engines being under 25% --- less so.
Agree, def needs a citation, I even forgot where I got that original quote. There is some good info here though: web.mit.edu/sloan-auto-lab/research/beforeh2/files/On-the-Road-toward-2050.pdf
I think it’s both. It’s a miracle we can quantify and understand. The more I learn about molecular basis of life (I’m an organic synth chem PhD student) the more humbled I feel to be alive. The only difference between me and the dirt I walk on is how the atoms are bonded to each other
