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ORCIDJike Wang
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2020 – today
- 2024
[j15]Ruofan Jin, Qing Ye
, Jike Wang, Zheng Cao, Dejun Jiang, Tianyue Wang, Yu Kang, Wanting Xu, Chang-Yu Hsieh, Tingjun Hou:
AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences. Briefings Bioinform. 25(4) (2024)- [j14]Peilin Wang, Kuangkuang Ye, Xuerui Hao, Jike Wang:
Handling shape optimization of superconducting cavities with DNMOGA. Comput. Phys. Commun. 299: 109136 (2024) - [j13]Mingyang Wang, Zhengjian Wu, Jike Wang, Gaoqi Weng, Yu Kang, Peichen Pan, Dan Li, Yafeng Deng, Xiaojun Yao, Zhitong Bing, Chang-Yu Hsieh, Tingjun Hou:
Genetic Algorithm-Based Receptor Ligand: A Genetic Algorithm-Guided Generative Model to Boost the Novelty and Drug-Likeness of Molecules in a Sampling Chemical Space. J. Chem. Inf. Model. 64(4): 1213-1228 (2024) - [j12]Chao Shen, Jianfei Song, Chang-Yu Hsieh, Dong-Sheng Cao, Yu Kang, Wenling Ye, Zhenxing Wu, Jike Wang, Odin Zhang, Xujun Zhang, Hao Zeng, Heng Cai, Yu Chen, Linkang Chen, Hao Luo, Xinda Zhao, Tianye Jian, Tong Chen, Dejun Jiang, Mingyang Wang, Qing Ye, Jialu Wu, Hongyan Du, Hui Shi, Yafeng Deng, Tingjun Hou:
DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery. J. Chem. Inf. Model. 64(14): 5381-5391 (2024) - [c2]Zhenyu Chen, Jike Wang, Dongyao Chen:
Demo: Implementation and Benchmark of Magnetic Tracking on Mobile Platforms. AdaAIoTSys@MobiSys 2024: 21-22 - [i2]Jike Wang, Rui Qin, Mingyang Wang, Meijing Fang, Yangyang Zhang, Yuchen Zhu, Qun Su, Qiaolin Gou, Chao Shen, Odin Zhang, Zhenxing Wu, Dejun Jiang, Xujun Zhang, Huifeng Zhao, Xiaozhe Wan, Zhourui Wu, Liwei Liu, Yu Kang, Chang-Yu Hsieh, Tingjun Hou:
Token-Mol 1.0: Tokenized drug design with large language model. CoRR abs/2407.07930 (2024) - [i1]Xiang Zhuang, Keyan Ding, Tianwen Lyu, Yinuo Jiang, Xiaotong Li, Zhuoyi Xiang, Zeyuan Wang, Ming Qin, Kehua Feng, Jike Wang, Qiang Zhang, Huajun Chen:
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions. CoRR abs/2410.07919 (2024) - 2023
- [j11]Jike Wang, Yundian Zeng, Huiyong Sun, Junmei Wang, Xiaorui Wang, Ruofan Jin, Mingyang Wang, Xujun Zhang, Dong-Sheng Cao, Xi Chen, Chang-Yu Hsieh, Tingjun Hou:
Molecular Generation with Reduced Labeling through Constraint Architecture. J. Chem. Inf. Model. 63(11): 3319-3327 (2023) - [j10]Xiaodan Yin, Xiaorui Wang, Yuquan Li, Jike Wang, Yuwei Wang, Yafeng Deng, Tingjun Hou, Huanxiang Liu, Pei Luo, Xiaojun Yao:
CODD-Pred: A Web Server for Efficient Target Identification and Bioactivity Prediction of Small Molecules. J. Chem. Inf. Model. 63(20): 6169-6176 (2023) - [c1]Jike Wang, Shanmu Wang, Yasha Iravantchi, Mingke Wang, Alanson P. Sample, Kang G. Shin, Xinbing Wang, Chenghu Zhou, Dongyao Chen:
METRO: Magnetic Road Markings for All-weather, Smart Roads. SenSys 2023: 280-293 - 2022
- [j9]Mingyang Wang, Huiyong Sun, Jike Wang, Jinping Pang, Xin Chai, Lei Xu, Honglin Li, Dongsheng Cao, Tingjun Hou:
Comprehensive assessment of deep generative architectures for de novo drug design. Briefings Bioinform. 23(1) (2022) - [j8]Dejun Jiang, Huiyong Sun, Jike Wang, Chang-Yu Hsieh, Yuquan Li, Zhenxing Wu, Dong-Sheng Cao, Jian Wu, Tingjun Hou:
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning. Briefings Bioinform. 23(2) (2022) - [j7]Zhenxing Wu, Dejun Jiang, Jike Wang, Xujun Zhang, Hongyan Du, Lurong Pan, Chang-Yu Hsieh, Dongsheng Cao, Tingjun Hou:
Knowledge-based BERT: a method to extract molecular features like computational chemists. Briefings Bioinform. 23(3) (2022) - [j6]Mingyang Wang, Jike Wang, Gaoqi Weng, Yu Kang, Peichen Pan, Dan Li, Yafeng Deng, Honglin Li, Chang-Yu Hsieh, Tingjun Hou:
ReMODE: a deep learning-based web server for target-specific drug design. J. Cheminformatics 14(1): 84 (2022) - [j5]Jiahui Yu, Jike Wang, Hong Zhao, Junbo Gao, Yu Kang, Dong-Sheng Cao, Zhe Wang, Tingjun Hou:
Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention Mechanism. J. Chem. Inf. Model. 62(12): 2973-2986 (2022) - 2021
- [j4]Jike Wang, Dong-Sheng Cao, Cunchen Tang, Lei Xu, Qiaojun He, Bo Yang, Xi Chen, Huiyong Sun, Tingjun Hou:
DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges. Briefings Bioinform. 22(3) (2021) - [j3]Jike Wang, Huiyong Sun, Jiawen Chen, Dejun Jiang, Zhe Wang, Zhenxing Wu, Xi Chen, Dong-Sheng Cao, Tingjun Hou:
DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithms. Bioinform. 37(22): 4255-4257 (2021) - [j2]Jike Wang, Chang-Yu Hsieh, Mingyang Wang, Xiaorui Wang, Zhenxing Wu, Dejun Jiang, Benben Liao, Xujun Zhang, Bo Yang, Qiaojun He, Dongsheng Cao, Xi Chen, Tingjun Hou:
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning. Nat. Mach. Intell. 3(10): 914-922 (2021) - 2020
- [j1]Jike Wang, Dong-Sheng Cao, Cunchen Tang, Xi Chen, Huiyong Sun, Tingjun Hou:
Fast and accurate prediction of partial charges using Atom-Path-Descriptor-based machine learning. Bioinform. 36(18): 4721-4728 (2020)
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