Shitong Luo

B.S., Peking University (2021)

I received my B.S. degree from Peking University in 2021 and subsequently joined a biotech start-up. I will return to academia very soon.

Education

  • Peking University

    B.S. in Data Science Sep. 2017 - Jul. 2021

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Selected Publications (view all )
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction

Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma

International Conference on Learning Representations (ICLR) 2023

Estimating the effect of mutations (binding ΔΔG) on PPIs from a generative model for rotamers.

[Paper] [Code] [OpenReview]

Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures

Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma

Conference on Neural Information Processing Systems (NeurIPS) 2022

A diffusion-based "swiss army knife" model for targeted antibody design and optimization.

[Paper] [Code] [Demo]

Deep Learning-Guided Optimization of Human Antibody Against SARS-CoV-2 Variants with Broad Neutralization

Sisi Shan*, Shitong Luo*, Ziqing Yang*, Junxian Hong*, Yufeng Su*, Fan Ding, Lili Fu, Chenyu Li, Peng Chen, Jianzhu Ma, Xuanling Shi, Qi Zhang, Bonnie Berger, Linqi Zhang, Jian Peng (* equal contribution)

Proceedings of the National Academy of Sciences (PNAS) 2022

Spotting candidates with potentially better neuralization in silico using deep learning. Assaying the candidates in vitro in the wet-lab.

[Paper] [Code] [Publication]

A 3D Generative Model for Structure-Based Drug Design

Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng

Conference on Neural Information Processing Systems (NeurIPS) 2021

Generating 3D molecules for protein binding sites. Learning the distribution of atom occurence in the 3D space.

[Paper] [Code] [Slides] [Proceedings]

Diffusion Probabilistic Models for 3D Point Cloud Generation

Shitong Luo, Wei Hu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Oral Best Paper Candidate

Inspired by the diffusion process in non-equilibrium thermodynamics; Markov chain; Competitive performance in generation and auto-encoding.

[Paper] [Code] [Suppl.(Corrected)] [Demo Created by S.H.] [Proceedings]

All publications