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Oristruct Biotech Co

As seen in: BioRxiv
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Articles

Diffusion in a quantized vector space generates non-idealized protein structures and predicts conformational distributions

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By Liu Haiyan, Liu Yufeng, Chen Linghui, Oristruct Biotech Co
| BioRxiv
Abstract The power of diffusion probabilistic models (DDPMs) in protein design was recently demonstrated by methods that performs three-dimensional protein backbone denoising. However, these DDPMs tend to generate protein backbones of idealized secondary structures and short loops, lacking diverse, non-idealized local structural elements which are essential for the rich conformational dynamics of natural proteins.
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De novo protein backbone generation based on diffusion with structured priors and adversarial training

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By Yufeng Liu, Haiyan Liu, Linghui Chen, Oristruct Biotech Co
| BioRxiv
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