Jike Wang

According to our database, Jike Wang authored at least 13 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

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