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References from ProT-GFDM: A generative fractional diffusion model for protein generation. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1042/ebc20200108 · 2022 · External reference
Sensing the shape of functional proteins with topology
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Generative adversarial nets
2014 · External reference
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ProteinVAE: variational autoencoder for translational protein design
2023 · External reference
ProtTrans: toward understanding the language of life through self-supervised learning
10.1109/tpami.2021.3095381 · 2021 · External reference
Prot-VAE: protein transformer variational autoencoder for functional protein design
2023 · External reference
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10.1016/j.sbi.2021.11.008
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Computational protein design with deep learning neural networks
2018 · External reference
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10.1038/s41467-022-32007-7
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Score-based generative modeling through stochastic differential equations
2020 · External reference
Denoising diffusion probabilistic models
2020 · External reference
Generative modeling by estimating gradients of the data distribution
2019 · External reference
Score-based generative models with Lévy processes
2023 · External reference
Annealed fractional Lévy–Itō diffusion models for protein generation
10.1016/j.csbj.2024.04.009 · 2024 · External reference
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2024 · External reference
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2021 · External reference
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2018 · External reference
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10.1016/s0022-2836(05)80360-2 · External reference
DeepRED: automated protein function prediction with multi-task feed-forward deep neural networks
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10.1093/bioinformatics/bty440 · External reference
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
10.1186/s13059-019-1835-8 · 2019 · External reference
10.1093/bib/bbae289
10.1093/bib/bbae289 · External reference
Generative models for protein sequence modeling: recent advances and future directions
10.1093/bib/bbad358 · 2023 · External reference
10.1126/science.abn2100
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A generative, probabilistic model of local protein structure
10.1073/pnas.0801715105 · 2008 · External reference
Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
2016 · External reference
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10.1016/s0076-6879(04)83004-0 · External reference
10.1561/2200000016 · Admitted local publication
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2019 · External reference
10.1142/s2010194515600022
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Estimation of non-normalized statistical models by score matching
2005 · External reference
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2012 · External reference
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2019 · External reference
A connection between score matching and denoising autoencoders
10.1162/neco_a_00142 · 2011 · External reference
Improved techniques for training score-based generative models
2020 · External reference
Denoising diffusion implicit models
2020 · External reference
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2013 · External reference
Approximate integration of stochastic differential equations
10.1137/1119062 · 1975 · External reference
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2012 · External reference
10.52202/075280-2998
10.52202/075280-2998 · External reference
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Variational diffusion models
2021 · External reference
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2015 · External reference
Assessing generative models via precision and recall
2018 · External reference
Improved precision and recall metric for assessing generative models
2019 · External reference
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2020 · External reference
Assessing generative model coverage of protein structures with SHAPES
2025 · External reference
10.1038/s41467-021-25316-w
10.1038/s41467-021-25316-w · External reference
10.1002/1878-0261.13277
10.1002/1878-0261.13277 · External reference
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External reference
Unresolved reference
External reference
Unresolved reference
2023 · External reference
10.1126/science.add2187
10.1126/science.add2187 · External reference
