iGEMDOCK: a graphical environment of enhancing GEMDOCK using pharmacological interactions and post-screening analysis von Hsu, Kai-Cheng, Chen, Yen-Fu, Lin, Shen-Rong, Yang, Jinn-Moon

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Membrane protein-regulated networks across human cancers von Lin, Chun-Yu, Lee, Chia-Hwa, Chuang, Yi-Hsuan, Lee, Jung-Yu, Chiu, Yi-Yuan, Wu Lee, Yan-Hwa, Jong, Yuh-Jyh, Hwang, Jenn-Kang, Huang, Sing-Han, Chen, Li-Ching, Wu, Chih-Hsiung, Tu, Shih-Hsin, Ho, Yuan-Soon, Yang, Jinn-Moon

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Densest subgraph-based methods for protein-protein interaction hot spot prediction von Li, Ruiming, Lee, Jung-Yu, Yang, Jinn-Moon, Akutsu, Tatsuya

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The inhibitory effects of PGG and EGCG against the SARS-CoV-2 3C-like protease von Chiou, Wei-Chung, Chen, Jui-Chieh, Chen, Yun-Ti, Yang, Jinn-Moon, Hwang, Lih-Hwa, Lyu, Yi-Shuan, Yang, Hsin-Yi, Huang, Cheng

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A novel graph convolutional neural network for predicting interaction sites on protein kinase inhibitors in phosphorylation von Wang, Feiqi, Chen, Yun-Ti, Yang, Jinn-Moon, Akutsu, Tatsuya

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GEMDOCK: A generic evolutionary method for molecular docking von Yang, Jinn-Moon, Chen, Chun-Chen

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Identification of pan-kinase-family inhibitors using graph convolutional networks to reveal family-sensitive pre-moieties von Lin, Xiang-Yu, Huang, Yu-Wei, Fan, You-Wei, Chen, Yun-Ti, Pathak, Nikhil, Hsu, Yen-Chao, Yang, Jinn-Moon

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Exploring kinase family inhibitors and their moiety preferences using deep SHapley additive exPlanations von Fan, You-Wei, Liu, Wan-Hsin, Chen, Yun-Ti, Hsu, Yen-Chao, Pathak, Nikhil, Huang, Yu-Wei, Yang, Jinn-Moon

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Discovery of moiety preference by Shapley value in protein kinase family using random forest models von Huang, Yu-Wei, Hsu, Yen-Chao, Chuang, Yi-Hsuan, Chen, Yun-Ti, Lin, Xiang-Yu, Fan, You-Wei, Pathak, Nikhil, Yang, Jinn-Moon

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Novel Class IIa-Selective Histone Deacetylase Inhibitors Discovered Using an in Silico Virtual Screening Approach von Hsu, Kai-Cheng, Liu, Chang-Yi, Lin, Tony Eight, Hsieh, Jui-Hua, Sung, Tzu-Ying, Tseng, Hui-Ju, Yang, Jinn-Moon, Huang, Wei-Jan

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Transcriptomic analysis of World Trade Center particulate Matter-induced pulmonary inflammation and drug treatments von Chen, Yun-Ti, Li, Jinhui, Chang, Jen-Ning, Luo, Yong-Chun, Yu, Wuyue, Chen, Lung-Chi, Yang, Jinn-Moon

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Repurposing existing drugs: identification of SARS-CoV-2 3C-like protease inhibitors von Chiou, Wei-Chung, Hsu, Meng-Shiuan, Chen, Yun-Ti, Yang, Jinn-Moon, Tsay, Yeou-Guang, Huang, Hsiu-Chen, Huang, Cheng

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Loss of Fis1 impairs proteostasis during skeletal muscle aging in Drosophila von Lee, Tai‐Ting, Chen, Po‐Lin, Su, Matthew P., Li, Jian‐Chiuan, Chang, Yi‐Wen, Liu, Rei‐Wen, Juan, Hsueh‐Fen, Yang, Jinn‐Moon, Chan, Shih‐Peng, Tsai, Yu‐Chen, Stockum, Sophia, Ziviani, Elena, Kamikouchi, Azusa, Wang, Horng‐Dar, Chen, Chun‐Hong

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Convolutional neural network for human cancer types prediction by integrating protein interaction networks and omics data von Chuang, Yi-Hsuan, Huang, Sing-Han, Hung, Tzu-Mao, Lin, Xiang-Yu, Lee, Jung-Yu, Lai, Wen-Sen, Yang, Jinn-Moon

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(PS)2-v2: template-based protein structure prediction server von Chen, Chih-Chieh, Hwang, Jenn-Kang, Yang, Jinn-Moon

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Correction: Parallel Screening of Wild-Type and Drug-Resistant Targets for Anti-Resistance Neuraminidase Inhibitors von Hsu, Kai-Cheng, Hung, Hui-Chen, Horng, Jim-Tong, Fang, Ming-Yu, Chang, Chun-Yu, Li, Ling-Ting, Chen, I-Jung, Chen, Yun-Chu, Chou, Ding-Li, Chang, Chun-Wei, Hsieh, Hsing-Pang, Yang, Jinn-Moon, Hsu, John T-A

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Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected Cells von Hengphasatporn, Kowit, Plaimas, Kitiporn, Suratanee, Apichat, Wongsriphisant, Peemapat, Yang, Jinn-Moon, Shigeta, Yasuteru, Chavasiri, Warinthorn, Boonyasuppayakorn, Siwaporn, Rungrotmongkol, Thanyada

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Inhibition of IRAK1 Is an Effective Therapy for Autoimmune Hypophysitis in Mice von Huang, Hsiao-Chen, Chen, Yun-Ti, Lin, Han-Huei, Li, Zhi-Qin, Yang, Jinn-Moon, Tzou, Shey-Cherng

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Crowning Proteins: Modulating the Protein Surface Properties using Crown Ethers von Lee, Cheng-Chung, Maestre-Reyna, Manuel, Hsu, Kai-Cheng, Wang, Hao-Ching, Liu, Chia-I, Jeng, Wen-Yih, Lin, Li-Ling, Wood, Richard, Chou, Chia-Cheng, Yang, Jinn-Moon, Wang, Andrew H.-J.

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Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes von Huang, Hung-Ling, Luo, Yong-Chun, Lu, Po-Liang, Huang, Cheng-Hsieh, Lin, Kun-Der, Lee, Meng-Rui, Cheng, Meng-Hsuan, Yeh, Yao-Tsung, Kao, Cheng-Yuan, Wang, Jann-Yuan, Yang, Jinn-Moon, Chong, Inn-Wen

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