S
Shitong Luo
Researcher at Peking University
Publications - 28
Citations - 681
Shitong Luo is an academic researcher from Peking University. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 4, co-authored 16 publications receiving 60 citations.
Papers
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Proceedings ArticleDOI
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo,Wei Hu +1 more
TL;DR: In this paper, the reverse diffusion process for point clouds is modeled as a Markov chain conditioned on certain shape latent variables, and the model achieves competitive performance in point cloud generation and auto-encoding.
Posted ContentDOI
High-resolution de novo structure prediction from primary sequence
Rui Min Wu,Fan Ding,Rui Wang,Rui Shen,Xiwen Zhang,Shitong Luo,Chenpeng Su,Zuofan Wu,Qi Xie,Bonnie Berger,Jianzhu Ma,Jian Peng +11 more
TL;DR: OmegaFold is introduced, the first computational method to successfully predict high-resolution protein structure from a single primary sequence alone, using a new combination of a protein language model that allows us to make predictions from single sequences and a geometry-inspired transformer model trained on protein structures.
Proceedings ArticleDOI
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo,Wei Hu +1 more
TL;DR: An autoencoder-like neural network is presented, aiming to capture intrinsic structures in point clouds and significantly outperforms state-of-the-art denoising methods under both synthetic noise and real world noise.
Proceedings Article
A 3D Generative Model for Structure-Based Drug Design
TL;DR: A 3D generative model that generates molecules given a designated 3D protein binding site that exhibits high binding to specific targets and good drug properties such as drug-likeness even if the model is not explicitly optimized for them is proposed.
Journal ArticleDOI
Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization
Sisi Shan,Shitong Luo,Zi Yang,Junxian Hong,Yufeng Su,Fan Ding,Lili Fu,Chenyu Li,Jianzhu Ma,Xuanling Shi,Qi Zhang,Bonnie Berger,Linqi Zhang,Jian Peng +13 more
TL;DR: A deep learning approach was introduced to redesign the complementarity-determining regions (CDRs) to target multiple virus variants and obtained an antibody that broadly neutralizes SARS-CoV-2 variants.