Top Tweets for #OmegaFold
Realized how GPU is powerful.
3D protein structure analysis, which used to take 15 hours with CPU/RAM, was completed in 20 min with RTX4070ti.
Even long structures that could not be analyzed due to lack of RAM could be analyzed using the GPU. #alphafold #omegafold #nvidia #3d
Even though the enterprise was harnessing the powers of generative AI in 2022, if we talk about research, 2022 was definitely the year of protein fold predictions
Article link👇
@Meta @Microsoft @UCBerkeley @nvidia #proteinfolding #alphafold #generativeai #omegafold
Our proof-of-concept pLM-based model, #pLMFold, is trained from scratch to obtain reasonable results with reduced computational overheads in comparison to previous models such as #AlphaFold and #OmegaFold.

First, it's pretty crazy we even have antibody-specific tools, since #AlphaFold2, #ESMFold, #OmegaFold, all do a decent job at antibody modelling. However, antibody-specific tools have -some- feature that's necessary (e.g. being MSA-free) (2/6)
Anyone know if there is a way to make #OmegaFold predict multiple different conformations like alphafold does? #Bioinformatics #CompBio
This is all to say that even if designing proteins that adopt well-defined folds is easy, designing enzymes with well-defined functions is still very hard, even in cases like this where we aren’t starting from scratch. /end
#OmegaFold models: https://t.co/yrH055QH2r
This is exactly the type of situation where our knowledge of the protein folding & design problem falls apart. Structure prediction using #OmegaFold, for example, always yielded the closed state of these sequences, offering nothing in terms of testable hypotheses.

🚨New tool alert🚨 #OmegaFold is now available on #COSMIC2. #OmegaFold does not require multiple sequence alignments making it well-suited for low sequence coverage proteins. It can also run on sequences up to 4096 AA. Try it out! https://t.co/ZoNoANHve0
#AlphaFold (cyan) (by @DeepMind) vs #OmegaFold (red) (by @HelixonBio) on Abcg2: rmsd = 3.47A. It takes 1hour on an old Nvidia Quadro P6000 to predict the structure by OmegaFold using single amino acid sequence.

Just tested #OmegaFold after a post from @peng_illinois.
It's fast, it's awesome and it's coming to #VMD as a plugin. Stay tuned.
BTW, it also worked quite well for multimers with glycine-link hack. Good job guys!

@sokrypton Here is an opposite example - Uniprot B2HHE4. #AlphaFold database model is low confidence whereas #OmegaFold models are reasonably good without MSA.

#OmegaFold, the first computational method to successfully predict high-resolution protein structure from a single primary sequence alone
A new protein language model adapted for structure prediction (OmegaPLM) and a new single-sequence structure predictor (OmegaFold) that takes OmegaPLM embeddings as input.
@peng_illinois
https://t.co/RSycCkQZR4

Can't wait to try it out with my #protein of interest and its notorious mutants!
#OmegaFold @CompBioAsia @Jamora_lab
We are thrilled to share the manuscript of OmegaFold.
It is really exciting to a protein's primary sequence is sufficient to predict its folded form. We believe that this conceptual advance will enable a multitude of applications in protein research.
https://t.co/LzUIK78aao
First tweet from Helixon. @HelixonBio we build next-generation AI solutions to protein-based therapeutics. Excited to emerge from the stealth mode after a year of hard work.

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