Xujun Zhang

According to our database1, Xujun Zhang authored at least 19 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Comprehensive Evaluation of 10 Docking Programs on a Diverse Set of Protein-Cyclic Peptide Complexes.
J. Chem. Inf. Model., 2024

2023
TB-IECS: an accurate machine learning-based scoring function for virtual screening.
J. Cheminformatics, December, 2023

Privacy-preserving activity recognition using multimodal sensors in smart office.
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

Molecular Generation with Reduced Labeling through Constraint Architecture.
J. Chem. Inf. Model., June, 2023

Efficient and accurate large library ligand docking with KarmaDock.
Nat. Comput. Sci., 2023

An Improved Mayfly Algorithm With Shading Detection for MPPT of Photovoltaic Systems.
IEEE Access, 2023

2022
VGSC-DB: an online database of voltage-gated sodium channels.
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


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