Jike Wang
Orcid: 0009-0003-7145-4608
According to our database1,
Jike Wang
authored at least 17 papers
between 2020 and 2024.
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Bibliography
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.
J. Chem. Inf. Model., February, 2024
J. Chem. Inf. Model., 2024
Comput. Phys. Commun., 2024
AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.
Briefings Bioinform., 2024
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.
J. Chem. Inf. Model., October, 2023
J. Chem. Inf. Model., June, 2023
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
2022
Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention Mechanism.
J. Chem. Inf. Model., 2022
J. Cheminformatics, 2022
Knowledge-based BERT: a method to extract molecular features like computational chemists.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning.
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.
Bioinform., November, 2021
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning.
Nat. Mach. Intell., 2021
DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges.
Briefings Bioinform., 2021
2020
Fast and accurate prediction of partial charges using Atom-Path-Descriptor-based machine learning.
Bioinform., 2020