René's URL Explorer Experiment


Title: GitHub - AspirinCode/awesome-BioMolGenFold: RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding · GitHub

Open Graph Title: GitHub - AspirinCode/awesome-BioMolGenFold: RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding

X Title: GitHub - AspirinCode/awesome-BioMolGenFold: RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding

Description: RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding - AspirinCode/awesome-BioMolGenFold

Open Graph Description: RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding - AspirinCode/awesome-BioMolGenFold

X Description: RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding - AspirinCode/awesome-BioMolGenFold

Opengraph URL: https://github.com/AspirinCode/awesome-BioMolGenFold

X: @github

direct link

Domain: github.com

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LICENSEhttps://github.com/AspirinCode/awesome-BioMolGenFold/blob/main/LICENSE
README.mdhttps://github.com/AspirinCode/awesome-BioMolGenFold/blob/main/README.md
README.mdhttps://github.com/AspirinCode/awesome-BioMolGenFold/blob/main/README.md
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GPL-3.0 licensehttps://github.com/AspirinCode/awesome-BioMolGenFold
https://github.com/AspirinCode/awesome-BioMolFold
Deep Learning-based mRNA/RNA designhttps://github.com/AspirinCode/awesome-BioMolGenFold#deep-learning-based-mrna/rna-design
RNN-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#rnn-based
LSTM-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#lstm-based
Autoregressive-modelshttps://github.com/AspirinCode/awesome-BioMolGenFold#autoregressive-models
Transformer-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#transformer-based
VAE-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#vae-based
GAN-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#gan-based
Flow-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#flow-based
Prompt-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#prompt-based
Score-Basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#score-Based
Energy-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#energy-based
Diffusion-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#diffusion-based
Active Learning DMGshttps://github.com/AspirinCode/awesome-BioMolGenFold#active-learning-dmgs
RL-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#rl-based
Multi-task DMGshttps://github.com/AspirinCode/awesome-BioMolGenFold#multi-task-dmgs
Monte Carlo Tree Searchhttps://github.com/AspirinCode/awesome-BioMolGenFold#monte-carlo-tree-search
Genetic Algorithm-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#genetic-algorithm-based
Evolutionary Algorithm-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#evolutionary-algorithm-based
Large Language Model-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#large-language-model-based
Deep Learning-based DNA designhttps://github.com/AspirinCode/awesome-BioMolGenFold#deep-learning-based-dna-design
RNN-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#rnn-based
LSTM-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#lstm-based
Autoregressive-modelshttps://github.com/AspirinCode/awesome-BioMolGenFold#autoregressive-models
Transformer-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#transformer-based
VAE-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#vae-based
GAN-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#gan-based
Flow-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#flow-based
Prompt-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#prompt-based
Score-Basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#score-Based
Energy-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#energy-based
Diffusion-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#diffusion-based
Active Learning DMGshttps://github.com/AspirinCode/awesome-BioMolGenFold#active-learning-dmgs
RL-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#rl-based
Multi-task DMGshttps://github.com/AspirinCode/awesome-BioMolGenFold#multi-task-dmgs
Monte Carlo Tree Searchhttps://github.com/AspirinCode/awesome-BioMolGenFold#monte-carlo-tree-search
Genetic Algorithm-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#genetic-algorithm-based
Evolutionary Algorithm-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#evolutionary-algorithm-based
Large Language Model-basedhttps://github.com/AspirinCode/awesome-BioMolGenFold#large-language-model-based
AlphaFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#alphafold
AlphaFold 2https://github.com/AspirinCode/awesome-BioMolGenFold#alphafold-2
AlphaFold 3https://github.com/AspirinCode/awesome-BioMolGenFold#alphafold-3
AlphaFold-Multimerhttps://github.com/AspirinCode/awesome-BioMolGenFold#alphafold-multimer
Rosettahttps://github.com/AspirinCode/awesome-BioMolGenFold#rosetta
RoseTTAFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#rosettafold
RoseTTAFold2https://github.com/AspirinCode/awesome-BioMolGenFold#rosettafold2
RoseTTAFold2NAhttps://github.com/AspirinCode/awesome-BioMolGenFold#rosettafold2na
OpenFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#openfold
Uni-Foldhttps://github.com/AspirinCode/awesome-BioMolGenFold#uni-fold
OmegaFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#omegafold
EquiFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#equifold
ESMFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#esmfold
Folding-guide ligand discoveryhttps://github.com/AspirinCode/awesome-BioMolGenFold#folding-guide-ligand-discovery
RNAFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#rnafold
mRNAFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#mrnafold
DNAFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#dnafold
peptideFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#peptidefold
ProteinFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#proteinfold
AntibodyFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#antibodyfold
Protein-Protein ComplexFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#protein-protein-complexfold
Peptide-Protein ComplexFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#peptide-protein-complexfold
RNA-Protein ComplexFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#rna-protein-complexfold
DNA-Protein ComplexFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#dna-protein-complexfold
Antibody-Antigen ComplexFoldhttps://github.com/AspirinCode/awesome-BioMolGenFold#antibody-antigen-complexfold
https://github.com/AspirinCode/awesome-BioMolGenFold#deep-learning-based-mrnarna-design
arXiv:2502.21274 (2025)https://arxiv.org/abs/2502.21274
https://github.com/AspirinCode/awesome-BioMolGenFold#deep-learning-based-dna-design
https://github.com/AspirinCode/awesome-BioMolGenFold#folding-tool-collection
https://github.com/AspirinCode/awesome-BioMolGenFold#recommendations-and-references
https://github.com/biolists/folding_toolshttps://github.com/biolists/folding_tools
https://github.com/AspirinCode/awesome-BioMolGenFold#folding-tool-collection-1
https://github.com/AspirinCode/awesome-BioMolGenFold#alphafold
bioRxiv (2025)https://doi.org/10.1101/2025.06.30.662466
codehttps://zenodo.org/records/15770723
Nature 577, 706–710 (2020)https://doi.org/10.1038/s41586-019-1923-7
codehttps://github.com/google-deepmind/deepmind-research/tree/master/alphafold_casp13
https://github.com/AspirinCode/awesome-BioMolGenFold#alphafold-2
Nature 596, 583–589 (2021)https://doi.org/10.1038/s41586-021-03819-2
codehttps://github.com/google-deepmind/alphafold
Bioinformatics (2024)https://doi.org/10.1093/bioinformatics/btae491
https://github.com/AspirinCode/awesome-BioMolGenFold#alphafold-3
Proc. Natl. Acad. Sci. (2025)https://doi.org/10.1073/pnas.2521048122
codehttps://github.com/HaCTang/SiteAF3
bioRxiv. (2025)https://doi.org/10.1101/2025.02.27.640585
codehttps://github.com/Jfeldman34/AF3Complex
Nature (2024)https://doi.org/10.1038/s41586-024-07487-w
severhttps://alphafoldserver.com/
https://github.com/AspirinCode/awesome-BioMolGenFold#alphafold-multimer
biorxiv (2021)https://doi.org/10.1101/2021.10.04.463034
codehttps://github.com/google-deepmind/alphafold
Nat Commun 13, 6028 (2022)https://doi.org/10.1038/s41467-022-33729-4
codehttps://github.com/patrickbryant1/MoLPC
PLOS Computational Biology (2024)https://doi.org/10.1371/journal.pcbi.1012253
codehttps://github.com/patrickbryant1/AFProfile
bioRxiv (2025)https://doi.org/10.1101/2025.01.31.635911
codehttps://github.com/gchojnowski/gapTrick
https://github.com/AspirinCode/awesome-BioMolGenFold#rosetta
https://www.rosettacommons.orghttps://www.rosettacommons.org
https://github.com/AspirinCode/awesome-BioMolGenFold#rosettafold
Science 373.6557 (2021)https://doi.org/10.1126/science.abj8754
codehttps://github.com/RosettaCommons/RoseTTAFold
https://github.com/AspirinCode/awesome-BioMolGenFold#rosettafold2
bioRxiv (2023))https://doi.org/10.1126/science.abj8754
codehttps://github.com/uw-ipd/RoseTTAFold2
https://github.com/AspirinCode/awesome-BioMolGenFold#rosettafold2na
Nature Methods 21.1 (2024)https://doi.org/10.1038/s41592-023-02086-5
codehttps://github.com/uw-ipd/RoseTTAFold2NA
https://github.com/AspirinCode/awesome-BioMolGenFold#openfold
Nat Methods (2024)https://doi.org/10.1038/s41592-024-02272-z
Biorxiv (2022)https://doi.org/10.1101/2022.11.20.517210
codehttps://github.com/aqlaboratory/openfold
https://github.com/AspirinCode/awesome-BioMolGenFold#uni-fold
bioRxiv (2022)https://doi.org/10.1101/2022.08.04.502811
codehttps://github.com/dptech-corp/Uni-Fold
https://github.com/AspirinCode/awesome-BioMolGenFold#omegafold
bioRxiv (2022)https://doi.org/10.1101/2022.07.21.500999
codehttps://github.com/HeliXonProtein/OmegaFold
https://github.com/AspirinCode/awesome-BioMolGenFold#equifold
bioRxiv (2022)https://doi.org/10.1101/2022.10.07.511322
codehttps://github.com/Genentech/equifold
https://github.com/AspirinCode/awesome-BioMolGenFold#esmfold
Science 379.6637 (2023)https://doi.org/10.1126/science.ade2574
codehttps://github.com/facebookresearch/esm
https://github.com/AspirinCode/awesome-BioMolGenFold#folding-guide-ligand-discovery
Science (2024)https://doi.org/10.1126/science.adn6354
https://github.com/AspirinCode/awesome-BioMolGenFold#based-on-the-classification-of-biomolecules
https://github.com/AspirinCode/awesome-BioMolGenFold#rnafold
arXiv:2002.05810 (2020)https://arxiv.org/abs/2002.05810
codehttps://github.com/ml4bio/e2efold
Science 373.6558 (2021)https://doi.org/10.1126/science.abe5650
codehttps://drorlab.stanford.edu/ares.html
codehttps://github.com/baaihealth/OpenComplex
Nat Methods 19, 1234–1242 (2022)https://doi.org/10.1038/s41592-022-01605-0
codehttps://github.com/eternagame/EternaFold
bioRxiv (2024)https://doi.org/10.1101/2024.04.18.590187
codehttps://github.com/GRAPH-0/RiboDiffusion
bioRxiv (2024)https://doi.org/10.1101/2024.02.12.579881
codehttps://github.com/automl/RNAformer
https://github.com/AspirinCode/awesome-BioMolGenFold#mrnafold
https://github.com/AspirinCode/awesome-BioMolGenFold#dnafold
Nat. Mater. (2024)https://doi.org/10.1038/s41563-024-01846-8
codehttps://github.com/SSDL-SNU/DeepSNUPI
https://github.com/AspirinCode/awesome-BioMolGenFold#peptidefold
Briefings in Bioinformatics (2021)https://doi.org/10.1093/bib/bbab203
severhttps://server.wei-group.net/PSSP-MVIRT
Structure 31.1 (2023)https://doi.org/10.1016/j.str.2022.11.012
https://github.com/AspirinCode/awesome-BioMolGenFold#proteinfold
Nature 577, 706–710 (2020)https://doi.org/10.1038/s41586-019-1923-7
codehttps://github.com/google-deepmind/deepmind-research/tree/master/alphafold_casp13
Nature 596, 583–589 (2021)https://doi.org/10.1038/s41586-021-03819-2
codehttps://github.com/google-deepmind/alphafold
Science 373.6557 (2021)https://doi.org/10.1126/science.abj8754
codehttps://github.com/RosettaCommons/RoseTTAFold
Biorxiv (2022)https://doi.org/10.1101/2022.11.20.517210
codehttps://github.com/aqlaboratory/openfold
bioRxiv (2022)https://doi.org/10.1101/2022.08.04.502811
codehttps://github.com/dptech-corp/Uni-Fold
bioRxiv (2022)https://doi.org/10.1101/2022.07.21.500999
codehttps://github.com/HeliXonProtein/OmegaFold
bioRxiv (2022)https://doi.org/10.1101/2022.10.07.511322
codehttps://github.com/Genentech/equifold
Science 379.6637 (2023)https://doi.org/10.1126/science.ade2574
codehttps://github.com/facebookresearch/esm
Nature (2024)https://doi.org/10.1038/s41586-024-07487-w
severhttps://alphafoldserver.com/
https://github.com/AspirinCode/awesome-BioMolGenFold#antibodyfold
codehttps://github.com/Graylab/IgFold
https://github.com/AspirinCode/awesome-BioMolGenFold#protein-protein-complexfold
biorxiv (2021)https://doi.org/10.1101/2021.10.04.463034
codehttps://github.com/google-deepmind/alphafold
Nat Commun 13, 6028 (2022)https://doi.org/10.1038/s41467-022-33729-4
codehttps://github.com/patrickbryant1/MoLPC
arXiv:2404.10260 (2024)https://arxiv.org/html/2404.10260v1
codehttps://paddlehelix.baidu.com/
Nature (2024)https://doi.org/10.1038/s41586-024-07487-w
severhttps://alphafoldserver.com/
https://github.com/AspirinCode/awesome-BioMolGenFold#peptide-protein-complexfold
biorxiv (2021)https://doi.org/10.1101/2021.10.04.463034
codehttps://github.com/google-deepmind/alphafold
Nature (2024)https://doi.org/10.1038/s41586-024-07487-w
severhttps://alphafoldserver.com/
Nature Methods 21.1 (2024)https://doi.org/10.1038/s41592-023-02086-5
codehttps://github.com/uw-ipd/RoseTTAFold2NA
https://github.com/AspirinCode/awesome-BioMolGenFold#rna-protein-complexfold
codehttps://github.com/baaihealth/OpenComplex
Nature Methods 21.1 (2024)https://doi.org/10.1038/s41592-023-02086-5
codehttps://github.com/uw-ipd/RoseTTAFold2NA
https://github.com/AspirinCode/awesome-BioMolGenFold#dna-protein-complexfold
Nature Methods 21.1 (2024)https://doi.org/10.1038/s41592-023-02086-5
codehttps://github.com/uw-ipd/RoseTTAFold2NA
https://github.com/AspirinCode/awesome-BioMolGenFold#antibody-antigen-complexfold
NeurIPS 2023 Generative AI and Biology (GenBio) Workshop. (2023)https://openreview.net/forum?id=bxZMKHtlL6
codehttps://github.com/oxpig/AntiFold
bioRxiv (2024)https://doi.org/10.1101/2024.02.05.578892
severhttps://drug.ai.tencent.com/en
Nature (2024)https://doi.org/10.1038/s41586-024-07487-w
severhttps://alphafoldserver.com/
alphafold https://github.com/topics/alphafold
alphafold-multimer https://github.com/topics/alphafold-multimer
rosettafold https://github.com/topics/rosettafold
openfold https://github.com/topics/openfold
esmfold https://github.com/topics/esmfold
uni-fold https://github.com/topics/uni-fold
omegafold https://github.com/topics/omegafold
equifold https://github.com/topics/equifold
Readme https://github.com/AspirinCode/awesome-BioMolGenFold#readme-ov-file
GPL-3.0 license https://github.com/AspirinCode/awesome-BioMolGenFold#GPL-3.0-1-ov-file
Please reload this pagehttps://github.com/AspirinCode/awesome-BioMolGenFold
Activityhttps://github.com/AspirinCode/awesome-BioMolGenFold/activity
9 forkshttps://github.com/AspirinCode/awesome-BioMolGenFold/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FAspirinCode%2Fawesome-BioMolGenFold&report=AspirinCode+%28user%29
Releaseshttps://github.com/AspirinCode/awesome-BioMolGenFold/releases
Packages 0https://github.com/users/AspirinCode/packages?repo_name=awesome-BioMolGenFold
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Contributorshttps://github.com/AspirinCode/awesome-BioMolGenFold/graphs/contributors
Please reload this pagehttps://github.com/AspirinCode/awesome-BioMolGenFold
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