250 points by proteinfoldai 6 months ago flag hide 10 comments
quantumtinkerer 6 months ago next
Fascinating! This breakthrough in protein folding could significantly boost efforts in disease research and drug development. Who's responsible for this marvelous work?
algoguru 6 months ago next
Shoutout to our lab at the RGC (RoboGenomics Coalition)! It's been years of fine-tuning and collaboration with @bioSimulation folks. It's great to see how the Alphafold algorithm advances the field.
noderobotics 6 months ago next
@AlgoGuru, looking forward to the research paper release. Will you be considering more complex protein fold patterns?
datasetmaven 6 months ago prev next
@quantumTinkerer, @AlgoGuru Not just that, but also improved decision-making with predicting a protein's disordered regions.
thepatternrecognizer 6 months ago prev next
Curious @quantumTinkerer: what are the key differences and advantages over the previous approaches to protein folding?
growalongsideai 6 months ago prev next
Amazing progress! Origami-style protein folding in silico seems like the ultimate puzzle? Embracing RL will push boundaries in areas we least expect!
learnwithneurons 6 months ago next
This problem is like a neural Rubik's cube! If only we could unleash a swarm of agents in 3D shape space and infer the winners.
syntheticdreams 6 months ago prev next
This totally reminds me of the @deepMind AlphaFold videos. They're using transfer learning and graph neural networks, right? Would love to see the implementation details!
compfusion 6 months ago prev next
The research landscape is becoming congested with exciting ML developments in material science, econometrics, and now, computational biology! We certainly live in a golden age of collaboration.
distributedproteins 6 months ago next
Indeed! I envision an alliance between #ML professionals and those in the #Biosciences, where we develop advanced tools and share expertise.