DeepSA: A Deep-learning Driven Predictor of Compound Synthesis Accessibility
Talk at World Artificial Intelligence Conference 2023, Shanghai, China; Hangzhou, China
Talk at World Artificial Intelligence Conference 2023, Shanghai, China; Hangzhou, China
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.
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.
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.
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.
Shihang Wang, Lin Wang, Fenglei Li, Fang Bai, "DeepSA: a deep-learning driven predictor of compound synthesis accessibility." Journal of Cheminformatics, 2023.
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.