12K views · Apr 19, 2012 · 1:20:35 · 1 HN recommender · 4 mentions · discussed 2014–2025
David Shaw of D. E. Shaw Research presents Anton, a special-purpose machine that speeds up biomolecular simulations about a hundred-fold. The lecture covers molecular dynamics and how simulation helps understand how drugs bind.
Why Hacker News points people here: HN points to it as an accessible, interesting talk on molecular dynamics and simulation-based drug discovery.
“There is brilliant video by the hedge fund manager DE Shaw about molecular dynamics simulation. Its very accessible and I found it very interesting”HN comment, 2025
“There is brilliant video by the hedge fund manager DE Shaw about molecular dynamics simulation. Its very accessible and I found it very interesting”
Accessible, interesting talk by DE Shaw on molecular dynamics simulation.
There is brilliant video by the hedge fund manager DE Shaw about molecular dynamics simulation. Its very accessible and I found it very interesting — this video
“here's a visual example of using a computational microscope to understand how drug actually works and finds its binding site”
Visual example of a computational microscope showing how a drug finds its binding site.
I'm not giving you what you want, but here's a visual example of using a computational microscope to understand how drug actually works and finds its binding site: this video If you can't see a difference between that and say, X-Ray crystallography then well..
“There are also some more recent academic talks of his on youtube, mostly focused on his bio-informatics research.”
A recent academic talk by Shaw on his bio-informatics research.
There are also some more recent academic talks of his on youtube, mostly focused on his bio-informatics research. E.g. this video
“Drug discovery via Molecular Dynamics Simulations [2]”
Cited as an example of drug discovery via molecular dynamics simulation.
> What do you mean by fundamental AI research? Coming up with new/original models that solve the same exact problems that people are trying to solve with neural networks (computer vision, language translation, image generation etc) hopefully that are better performing & cheaper computationally. > What kind of computational model? I think answering that question would be what the researcher in this field is trying todo. I think a place to start would be exploring abandoned AI strategies like Genetics Algorithms & Markov Logic >What are some practical applications of complex systems? - Modeling Financial Markets [1] - Drug discovery via Molecular Dynamics Simulations [2] - Urban Planning [3] - Modeling Epidemics [4] - Cosmology - Computer Graphics - Much more .... [1]: link [2]: this video [3]: link [4]: link If interested, subscribe to these podcasts. 1: Simplifying Complexity: link 2: Complexity: link
