The Molecular Basis of Life
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- Опубліковано 4 чер 2024
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/ arxivinsights --- You are amazing!! ;)
If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight: pensight.com/x/xander-steenbr...
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Life is a molecular marvel of astounding complexity. In this video we take a dive into the world of molecular engines, proteins and the physical processes that power life on earth. This video serves as an introduction to molecular biology and a primer for the future videos that will cover Machine Learning applications in computational biology and protein design.
::Chapters::
00:00 Intro
02:37 What are Proteins, and why should I care?
04:10 Getting a sense of scale
07:39 From DNA to Proteins
12:17 From Structure to Function
17:23 The Coronavirus
19:39 Application Potential of AI assisted computational Biology
22:11 Pensight and Patreon Links - Наука та технологія
![ПОЛНАЯ ИСТОРИЯ ЭКЗОРЦИЗМА [Топ Сикрет]](http://i.ytimg.com/vi/qBySr6Bt0B8/mqdefault.jpg)
Not that the previous videos were anything but amazing, but with this one you've outdone yourself. This deserves at least a million views.
Welcome back ♥
Love to see you back! Great re-entrance! 💪
I have yet to see a video so well edited and scripted about proteins! You're amazing dude!
Thank you!! :)
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.
What a nice supprise, welcome back!
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
Fantastic to see you back!
Post videos more oftenly bro. Loved your content
I am SO happy you’re back I hope you continue putting out content
Amazing collection of visuals and cool explanations on top! Looking forward to the rest of the series!
Thank you for this clear explanation..amazing
You do an incredible job of articulating complex concepts! Please make more video!
Hey, Xander happy to see you again! Looking forward to future videos.
AMAZING talk. Great work!
Good to see you back!
Great video, good luck on the new adventure!
Finally! I'd love to see more ML videos from you😀 Maybe you can also cover some theory again, you always explained it so well...
Long Waited and my heart is filled by seeing this ones
Please continue making videos. This was amazing. Thank you.
One of the best intros into protein biology ever produced...thanks and keep up with this outstanding and valuable content....
Awesome content, as always.
Great work! Looking forward to the next episodes!
You can't imagine how we missed your videos, welcome back 💚
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!
Awesome video !!! Such nice explanation !!!
We missed you! Wellcome back!
What a fantastic explanation of fundamentals
Great summary of the amazing machinery inside our cells!
Glad you're back. And even better.
I'm looking forward to your new series
I probably read books about it. But the video described translation process with the clearest possible way.
This is a very good series! Look forward to create more videos like this.
Great video. Was interested in biology, but wanted to work at the intersections with machine learning. This video helped.
This is looking pretty cool!
It's nice to have you again, Mr. Insights.
You're back!
This video is a pearl in the mud!
Thank you. Very good work!
Why are you not better known?
Wow very best explanation yet.
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!
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
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!
welcome backkk!!!
Where you been, we waited for long. glad you back.
Thanks for reminding me how mindblowing biology is
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.
this was mind blowing
Excellent video education on bio-molecular technology.
Downright awesome
YOU'RE BACK!!!!
really great quality content
Great video, going to watch the AlphaFold video now :)
Look who's back! :D
yay you're back 😀
Very nice video!
Wow, awesome video!
Awesome video
Bro, this is super-cool! Nice mustache btw!
Fantastic video! I'm very glad to have watched the Stanford Robert Sapolsky lecture intros to human behavioural biology on UA-cam. 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.
I did see them yes, love Sapolsky! :)
OH this is brilliant, please do some bioinformatics if possible
As a CS student, I wasn't very much interested in biology but DAMN this video put things into perspective.
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.
Finally back
I love it!
it's an absolute crime that this only has 8k views
WELCOME BACK!
amazingly debalsting, budosthil and gundstil !
Best channel in the world...
I think I will score full marks in this concept
Return of the Jedi
in your opinion, how much would one need to know about molecular chemistry to delve into computational biology?
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!"
@@ArxivInsights Is there any additional resources you'd recommend to someone interested in learning more?
@@artemisgaming7625 This channel is great:
www.youtube.com/@mlforproteinengineeringsem6420/videos
cool
Hype
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 ).
1 word: Wow
Fourth comment!! I'm excited:)
Within cells interlinked.
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%.
Molecular basis of life: that's BIOCHEMISTRY
I am made of engineering that beyond imagination, yet I can't solve an easy question on Leetcode.
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"
At 17:36 you said coronavirus is a cell, but that's not acurate, i think the best word for it is particle.
You're correct, virus are technically not cells, thx for noticing!
last update 1year ago.
Guess who's back
After 1 year 😅
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
time to m i s a p p l y some deep neural networks and annoy biologists!
Xander version 2.0
cool video. wrong assumptions
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!
16:46 “designed” did you mean “evolved”?
22:40 “miracle” - Life is not a miracle. You just finished scientifically explaining life.
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