日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

A Knowledge-Guided Graph Learning Approach Bridging Phenotype- and Target-Based Drug Discovery

一种基于知识的图学习方法，连接基于表型和基于靶点的药物发现

期刊:Advanced Science
影响因子:14.1
doi:10.1002/advs.202412402
Ye, Qing; Zeng, Yundian; Jiang, Linlong; Kang, Yu; Pan, Peichen; Chen, Jiming; Deng, Yafeng; Zhao, Haitao; He, Shibo; Hou, Tingjun; Hsieh, Chang-Yu
发表日期：2025
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Correction: FragGen: towards 3D geometry reliable fragment-based molecular generation

更正：FragGen：面向可靠的基于片段的三维几何分子生成

期刊:Chemical Science
影响因子:7.4
doi:10.1039/d4sc90252a
Zhang, Odin; Huang, Yufei; Chen, Shicheng; Yu, Mengyao; Zhang, Xujun; Lin, Haitao; Zeng, Yundian; Wang, Mingyang; Wu, Zhenxing; Zhao, Huifeng; Zhang, Zaixi; Hua, Chenqing; Kang, Yu; Cui, Sunliang; Pan, Peichen; Hsieh, Chang-Yu; Hou, Tingjun
发表日期：2025
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FragGen: towards 3D geometry reliable fragment-based molecular generation.

FragGen：面向可靠的基于片段的 3D 几何分子生成

期刊:Chemical Science
影响因子:7.4
doi:10.1039/d4sc04620j
Zhang Odin, Huang Yufei, Cheng Shichen, Yu Mengyao, Zhang Xujun, Lin Haitao, Zeng Yundian, Wang Mingyang, Wu Zhenxing, Zhao Huifeng, Zhang Zaixi, Hua Chenqing, Kang Yu, Cui Sunliang, Pan Peichen, Hsieh Chang-Yu, Hou Tingjun
3D/类器官
发表日期：2024
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MetalProGNet: a structure-based deep graph model for metalloprotein-ligand interaction predictions

MetalProGNet：一种基于结构的深度图模型，用于预测金属蛋白-配体相互作用

期刊:Chemical Science
影响因子:7.4
doi:10.1039/d2sc06576b
Jiang, Dejun; Ye, Zhaofeng; Hsieh, Chang-Yu; Yang, Ziyi; Zhang, Xujun; Kang, Yu; Du, Hongyan; Wu, Zhenxing; Wang, Jike; Zeng, Yundian; Zhang, Haotian; Wang, Xiaorui; Wang, Mingyang; Yao, Xiaojun; Zhang, Shengyu; Wu, Jian; Hou, Tingjun
发表日期：2023
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