Generative De Novo Protein Design with Global Context

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Generative De Novo Protein Design with Global Context

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

21 April 2022

Cheng Tan

Stan Z. Li

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Papers citing "Generative De Novo Protein Design with Global Context"

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Title
EnerBridge-DPO: Energy-Guided Protein Inverse Folding with Markov Bridges and Direct Preference Optimization Dingyi Rong Haotian Lu Wenzhuo Zheng Fan Zhang Shuangjia Zheng Ning Liu 173 2 0 11 Jun 2025
Decoupled Sequence and Structure Generation for Realistic Antibody Design Nayoung Kim Minsu Kim SungSoo Ahn Jinkyoo Park 338 1 0 20 Jan 2025
Bridge-IF: Learning Inverse Protein Folding with Markov BridgesNeural Information Processing Systems (NeurIPS), 2024 Yiheng Zhu Jialu Wu Yue Liu Jiahuan Yan Mingze Yin Wei Wu Mingyang Li Jieping Ye Xiping Hu Jian Wu 201 10 0 04 Nov 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction Lirong Wu Yufei Huang Cheng Tan Zhangyang Gao Bozhen Hu Haitao Lin Zicheng Liu Stan Z. Li 141 15 0 13 Feb 2024
Deep Manifold Transformation for Protein Representation LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Bozhen Hu Z. Zang Cheng Tan Stan Z. Li 250 1 0 12 Jan 2024
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models Yijie Zhang Zhangyang Gao Cheng Tan Stan Z.Li 134 2 0 07 Dec 2023
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? Jun Xia Lecheng Zhang Xiao Zhu Stan Z. Li 215 5 0 30 Jun 2023
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA DesignInternational Conference on Learning Representations (ICLR), 2023 Cheng Tan Yijie Zhang Zhangyang Gao Bozhen Hu Siyuan Li Zicheng Liu Stan Z. Li 204 12 0 25 Jan 2023