DeepSA: A Deep-learning Driven Predictor of Compound Synthesis Accessibility
Talk at World Artificial Intelligence Conference 2023, Shanghai, China; Hangzhou, China
Representative Work
- PhenoScreen: a dual-space contrastive learning framework-based phenotypic screening method by linking chemical perturbations to cellular morphology. [bioRxiv]
- DeepSA: a deep-learning driven predictor of compound synthesis accessibility. [J Cheminform]
- DeepmRNALoc: the state-of-the-art mRNA subcellular localization prediction method. [Molecules]
- Molecular evolutionary characteristics of SARS-CoV-2 emerging in the United States. [JMV]
Education
- B.S. in college of fisheries and life science, Shanghai Ocean University (SHOU), 2022
- MA.Sc in Shanghai Institute for Advanced Immunochemical Studies (SIAIS), ShanghaiTech University, 2025 (expected)
Academic Posters and Talks
Lingye Challenge: Shanghai International Computational Biology Challenge
Talk at Shanghai Center of Biomedicine Development, Shanghai, China
PhenoScreen: A Dual-Space Contrastive Learning Framework-based Phenotypic Screening Method by Linking Chemical Perturbations to Cellular Morphology
Talk at The 9th iHmuan Forum 2023, Shanghai, China
Interdisciplinary learning
Talk at Da Dao College, Lecture Hall 302, ShanghaiTech University Library, Shanghai, China
Softwares and Databases
- PhenoScreen, a dual-space contrastive learning framework-based phenotypic screening method by linking chemical perturbations to cellular morphology.
- DeepSA, a deep-learning driven predictor of compound synthesis accessibility.
- DeepmRNALoc, the mRNA subcellular localization prediction method.
Publications
Clarifying real receptor binding site between coronavirus HCoV-HKU1 and 9-O-Ac-Sia based on molecular docking
Xiaoyu Liu, Jingying Zhao, Sicong Li, Cai Wei, Shihang Wang, Xuanyu Xu, Yin Zheng, Xiangyu Deng, Wenliang Yuan, Xiaomin Zeng, Sihua Peng, "Clarifying real receptor binding site between coronavirus HCoV-HKU1 and 9-O-Ac-Sia based on molecular docking." Journal of Bioinformatics and Computational Biology, 2022.
Molecular evolutionary characteristics of SARS-CoV-2 emerging in the United States
Shihang Wang, Xuanyu Xu, Cai Wei, Sicong Li, Jingying Zhao, Yin Zheng, Xiaoyu Liu, Xiaomin Zeng, Wenliang Yuan, Sihua Peng, "Molecular evolutionary characteristics of SARS-CoV-2 emerging in the United States." Journal of medical virology, 2022.
Metagenomics revealing molecular profiles of microbial community structure and metabolic capacity in Bamucuo lake, Tibet
Cai Wei, Dan Sun, Wenliang Yuan, Lei Li, Chaoxu Dai, Zuozhou Chen, Xiaomin Zeng, Shihang Wang, Yuyang Zhang, Shouwen Jiang, Zhichao Wu, Dong Liu, Linhua Jiang, Sihua Peng, "Metagenomics revealing molecular profiles of microbial community structure and metabolic capacity in Bamucuo lake, Tibet." Environmental Research, 2023.
DeepmRNALoc: a novel predictor of eukaryotic mRNA subcellular localization based on deep learning
Shihang Wang, Zhehan Shen, Taigang Liu, Wei Long, Linhua Jiang, Sihua Peng, "DeepmRNALoc: a novel predictor of eukaryotic mRNA subcellular localization based on deep learning." Molecules, 2023.
DeepSA: a deep-learning driven predictor of compound synthesis accessibility
Shihang Wang, Lin Wang, Fenglei Li, Fang Bai, "DeepSA: a deep-learning driven predictor of compound synthesis accessibility." Journal of Cheminformatics, 2023.
Computer-Aided Prediction of the Interactions of Viral Proteases with Antiviral Drugs: Antiviral Potential of Broad-Spectrum Drugs
Pengxuan Ren, Shiwei Li, Shihang Wang, Xianglei Zhang, Fang Bai, "Computer-Aided Prediction of the Interactions of Viral Proteases with Antiviral Drugs: Antiviral Potential of Broad-Spectrum Drugs." Molecules, 2023.
Conformational Space Profiling Enhances Generic Molecular Representation for AI-Powered Ligand-Based Drug Discovery
Lin Wang, Shihang Wang, Hao Yang, Shiwei Li, Xinyu Wang, Yongqi Zhou, Siyuan Tian, Lu Liu, and Fang Bai, "Conformational Space Profiling Enhances Generic Molecular Representation for AI-Powered Ligand-Based Drug Discovery." Advanced Science, 2024.
PhenoScreen: A Dual-Space Contrastive Learning Framework-based Phenotypic Screening Method by Linking Chemical Perturbations to Cellular Morpholog
Shihang Wang, Qilei Han, Weichen Qin, Lin Wang, Junhong Yuan, Yiqun Zhao, Pengxuan Ren, Yunze Zhang, Yilin Tang, Ruifeng Li, Zongquan Li, Wenchao Zhang, Shenghua Gao and Fang Bai, "PhenoScreen: A Dual-Space Contrastive Learning Framework-based Phenotypic Screening Method by Linking Chemical Perturbations to Cellular Morpholog." bioRxiv, 2024.