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  • alphafold - Reddit
    I have used Alphafold to determine the structures for a protein of my interest While the confidence score is low for the over all prediction, I am curious to know if the secondary structures are accurate I don’t have much concern about the exact folding of the protein but am concerned if each secondary structure is accurate
  • AlphaFold 3 is a Fantastic Breakthrough and Deserves all the . . . - Reddit
    AlphaFold is helping researchers build models, but it can’t yet simply find all protein states F@H has always focused on molecular dynamics, while Rosetta@Home (a BOINC project) looked for protein structures and has been more supplanted by AlphaFold F@H also open sources all its results and was probably used to train AlphaFold
  • People are overestimating Alphafold and it’s a problem
    Alphafold is an amazing tool, but please please please, don’t think it’s omniscient and just magically knows what proteins look like Especially considering Proteins with IDRs or ones with a Lack of similar templates
  • [R] AlphaFold 2 : r MachineLearning - Reddit
    AlphaFold is seemingly on par with experimental methods like x-ray crystallography or cryo EM and does in minutes what used to take months to years if possible at all
  • Announcing AlphaFold 3: our state-of-the-art AI model for . . . - Reddit
    AlphaFold's ability to rapidly and accurately predict protein structures has accelerated research across various medical fields, enabling deeper understanding of disease mechanisms and facilitating drug discovery efforts [1] [3] Citations:
  • Is Folding At Home Still Relevant And Worth The Effort? - Reddit
    Folding@home uses mechanistic modelling, allowing the time-related process to be understood more AlphaFold uses machine learning, which although has impressive final-state accuracy, doesn't currently give any data between start and final states But I'm not sure if this is more to do with lack of 'training' data for the ML?
  • Best AlphaFold Posts - Reddit
    Exploring AlphaFold Hi r bioinformatics **,** I'm curious about AlphaFold and its applications, especially in wet lab work Has anyone in the community worked with AlphaFold, and what has your experience been? I'm particularly interested in understanding the delimitation of AlphaFold and exploring potential features that could be added for
  • How important of a breakthrough is DeepMinds AlphaFold? - Reddit
    The problem with AlphaFold is it's trained on a limited set of known data, specifically annotated data where a large number of similar structures exist It sucks at predicting membrane proteins and some barrel proteins I fed it, as the active sites tend to be cocked up to the point where it can't fit known substrates
  • Running AlphaFold on a standalone PC? : r bioinformatics - Reddit
    The AlphaFold GitHub pages only discuss executing the program in Google Cloud, and the specs for their Google Cloud instance sound quite formidable: "a [virtual?] machine using the nvidia-gpu-cloud-image with 12 vCPUs [virtual CPUs?], 85 GB of RAM, a 100 GB boot disk, the databases on an additional 3 TB disk, and an A100 GPU "
  • A glimpse of the next generation of AlphaFold - Reddit
    AlphaFold has already catalyzed major scientific advances around the world Now, the next generation of AlphaFold has the potential to help advance scientific exploration at digital speed " The acceleration of research is really incredible to watch I've never seen anything like this before





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