Jun 29, 2023 · We propose a novel graph denoising diffusion model for inverse protein folding, where a given protein backbone guides the diffusion process on ...

We propose a novel graph denoising diffusion model for inverse protein folding, where a given protein backbone guides the diffusion process on the corresponding ...

Here is an ablation study of two key parameters, step and diverse , in the ddim_sample function used to get improved results presented in the paper.

PMLR, 2022. • Structure determine function. • Many sequence can fold on one similar structure (524 different sequence fold into 1MBN).

During the denoising generation phase, initial node features are randomly sampled across the 20 amino acids with a uniform distribution. This is followed by a ...

This work proposes a novel graph denoising diffusion model for inverse protein folding, where a given protein backbone guides the diffusion process on the ...

Sep 4, 2024 · We propose a novel graph denoising diffusion model for inverse protein folding, where a given protein backbone guides the diffusion process on ...

Dec 10, 2024 · To incorporate structural and residue interactions, we develop a graph-based denoising network with a mask prior pre-training strategy.

本次分享将带领大家探索几何深度学习的研究进展，以及未来的技术趋势。首先将介绍图神经网络在处理具有结构属性和拓扑性质的数据中的重要作用，并分析其缺陷，然后将以双曲 ...