Jike Wang

According to our database, Jike Wang authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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.

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

J. Chem. Inf. Model., February, 2024

DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery.

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

J. Chem. Inf. Model., 2024

Handling shape optimization of superconducting cavities with DNMOGA.

Peilin Wang, Kuangkuang Ye, Xuerui Hao, Jike Wang

Comput. Phys. Commun., 2024

InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions.

Xiang Zhuang, Keyan Ding, Tianwen Lyu, Yinuo Jiang, Xiaotong Li, Zhuoyi Xiang, Zeyuan Wang, Ming Qin, Kehua Feng, Jike Wang, Qiang Zhang, Huajun Chen

CoRR, 2024

Token-Mol 1.0: Tokenized drug design with large language model.

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

CoRR, 2024

AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.

Ruofan Jin, Qing Ye, Jike Wang, Zheng Cao, Dejun Jiang, Tianyue Wang, Yu Kang, Wanting Xu, Chang-Yu Hsieh, Tingjun Hou

Briefings Bioinform., 2024

Polaris: Accurate, Vision-free Fiducials for Mobile Robots with Magnetic Constellation.

Jike Wang, Yasha Iravantchi, Alanson P. Sample, Kang G. Shin, Xinbing Wang, Dongyao Chen

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Demo: Implementation and Benchmark of Magnetic Tracking on Mobile Platforms.

Zhenyu Chen, Jike Wang, Dongyao Chen

Proceedings of the 2024 Workshop on Adaptive AIoT Systems, 2024

2023

CODD-Pred: A Web Server for Efficient Target Identification and Bioactivity Prediction of Small Molecules.

Xiaodan Yin, Xiaorui Wang, Yuquan Li, Jike Wang, Yuwei Wang, Yafeng Deng, Tingjun Hou, Huanxiang Liu, Pei Luo, Xiaojun Yao

J. Chem. Inf. Model., October, 2023

Molecular Generation with Reduced Labeling through Constraint Architecture.

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

J. Chem. Inf. Model., June, 2023

METRO: Magnetic Road Markings for All-weather, Smart Roads.

Jike Wang, Shanmu Wang, Yasha Iravantchi, Mingke Wang, Alanson P. Sample, Kang G. Shin, Xinbing Wang, Chenghu Zhou, Dongyao Chen

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022

Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention Mechanism.

Jiahui Yu, Jike Wang, Hong Zhao, Junbo Gao, Yu Kang, Dong-Sheng Cao, Zhe Wang, Tingjun Hou

J. Chem. Inf. Model., 2022

ReMODE: a deep learning-based web server for target-specific drug design.

Mingyang Wang, Jike Wang, Gaoqi Weng, Yu Kang, Peichen Pan, Dan Li, Yafeng Deng, Honglin Li, Chang-Yu Hsieh, Tingjun Hou

J. Cheminformatics, 2022

Knowledge-based BERT: a method to extract molecular features like computational chemists.

Zhenxing Wu, Dejun Jiang, Jike Wang, Xujun Zhang, Hongyan Du, Lurong Pan, Chang-Yu Hsieh, Dongsheng Cao, Tingjun Hou

Briefings Bioinform., 2022

Comprehensive assessment of deep generative architectures for de novo drug design.

Mingyang Wang, Huiyong Sun, Jike Wang, Jinping Pang, Xin Chai, Lei Xu, Honglin Li, Dongsheng Cao, Tingjun Hou

Briefings Bioinform., 2022

Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning.

Dejun Jiang, Huiyong Sun, Jike Wang, Chang-Yu Hsieh, Yuquan Li, Zhenxing Wu, Dong-Sheng Cao, Jian Wu, Tingjun Hou

Briefings Bioinform., 2022

2021

<i>DeepChargePredictor</i>: a web server for predicting QM-based atomic charges via <i>state-of-the-art</i> machine-learning algorithms.

Jike Wang, Huiyong Sun, Jiawen Chen, Dejun Jiang, Zhe Wang, Zhenxing Wu, Xi Chen, Dong-Sheng Cao, Tingjun Hou

Bioinform., November, 2021

Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning.

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

Nat. Mach. Intell., 2021

DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges.

Jike Wang, Dong-Sheng Cao, Cunchen Tang, Lei Xu, Qiaojun He, Bo Yang, Xi Chen, Huiyong Sun, Tingjun Hou

Briefings Bioinform., 2021

2020

Fast and accurate prediction of partial charges using Atom-Path-Descriptor-based machine learning.

Jike Wang, Dong-Sheng Cao, Cunchen Tang, Xi Chen, Huiyong Sun, Tingjun Hou

Bioinform., 2020