Chunhua Li
Orcid: 0000-0002-0895-3506Affiliations:
- Beijing University of Technology, Faculty of Environmental and Life Sciences, College of Chemistry and Life Science, China
According to our database1,
Chunhua Li
authored at least 13 papers
between 2019 and 2024.
Collaborative distances:
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Timeline
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2024
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Online presence:
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Bibliography
2024
ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein-DNA Interaction Hotspots.
J. Chem. Inf. Model., 2024
Prediction of Protein Allosteric Sites with Transfer Entropy and Spatial Neighbor-Based Evolutionary Information Learned by an Ensemble Model.
J. Chem. Inf. Model., 2024
RNAfcg: RNA Flexibility Prediction Based on Topological Centrality and Global Features.
J. Chem. Inf. Model., 2024
2023
Dynamic Insights into the Self-Activation Pathway and Allosteric Regulation of the Orphan G-Protein-Coupled Receptor GPR52.
J. Chem. Inf. Model., September, 2023
emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model.
Briefings Bioinform., July, 2023
Identification of metal ion-binding sites in RNA structures using deep learning method.
Briefings Bioinform., March, 2023
2022
Key Residues in δ Opioid Receptor Allostery Explored by the Elastic Network Model and the Complex Network Model Combined with the Perturbation Method.
J. Chem. Inf. Model., 2022
An ensemble approach to predict binding hotspots in protein-RNA interactions based on SMOTE data balancing and Random Grouping feature selection strategies.
Bioinform., 2022
Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation.
Briefings Bioinform., 2022
2021
Equally Weighted Multiscale Elastic Network Model and Its Comparison with Traditional and Parameter-Free Models.
J. Chem. Inf. Model., 2021
aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.
Bioinform., 2021
2020
Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification.
BMC Bioinform., 2020
2019
Comput. Biol. Chem., 2019