Xujun Zhang
Orcid: 0000-0002-5633-1517
According to our database1,
Xujun Zhang
authored at least 23 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Comprehensive Evaluation of 10 Docking Programs on a Diverse Set of Protein-Cyclic Peptide Complexes.
J. Chem. Inf. Model., 2024
J. Chem. Inf. Model., 2024
The contagious spread of bullying among Chinese adolescents through large school-based social networks.
Comput. Hum. Behav., 2024
2023
J. Cheminformatics, December, 2023
Future Gener. Comput. Syst., November, 2023
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling.
Nat. Mac. Intell., September, 2023
ML-PLIC: a web platform for characterizing protein-ligand interactions and developing machine learning-based scoring functions.
Briefings Bioinform., September, 2023
J. Chem. Inf. Model., June, 2023
Nat. Comput. Sci., 2023
An Improved Mayfly Algorithm With Shading Detection for MPPT of Photovoltaic Systems.
IEEE Access, 2023
2022
J. Cheminformatics, 2022
Knowledge-based BERT: a method to extract molecular features like computational chemists.
Briefings Bioinform., 2022
2021
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning.
Nat. Mach. Intell., 2021
VAD-MM/GBSA: A Variable Atomic Dielectric MM/GBSA Model for Improved Accuracy in Protein-Ligand Binding Free Energy Calculations.
J. Chem. Inf. Model., 2021
ASFP (Artificial Intelligence based Scoring Function Platform): a web server for the development of customized scoring functions.
J. Cheminformatics, 2021
The impact of cross-docked poses on performance of machine learning classifier for protein-ligand binding pose prediction.
J. Cheminformatics, 2021
Identification of active molecules against Mycobacterium tuberculosis through machine learning.
Briefings Bioinform., 2021
Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening?
Briefings Bioinform., 2021
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions.
Briefings Bioinform., 2021
Beware of the generic machine learning-based scoring functions in structure-based virtual screening.
Briefings Bioinform., 2021
2012
Model and Solution for Hot Strip Rolling Scheduling Problem Based on Constraint Programming Method.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012