Jun Liu

Orcid: 0009-0004-0283-3679

Affiliations:
  • Zhejiang University of Technology, College of Information Engineering, Hangzhou, China


According to our database1, Jun Liu authored at least 15 papers between 2020 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
<i>De Novo</i> Protein Structure Prediction by Model Quality Assessment Dynamic Feedback Mechanism Using Deep Learning.
IEEE Trans. Comput. Biol. Bioinform., 2025

2024
Assessing protein model quality based on deep graph coupled networks using protein language model.
Briefings Bioinform., January, 2024

2023
DeepUMQA3: a web server for accurate assessment of interface residue accuracy in protein complexes.
Bioinform., October, 2023

GraphGPSM: a global scoring model for protein structure using graph neural networks.
Briefings Bioinform., July, 2023

Improved model quality assessment using sequence and structural information by enhanced deep neural networks.
Briefings Bioinform., January, 2023

DomBpred: Protein Domain Boundary Prediction Based on Domain-Residue Clustering Using Inter-Residue Distance.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
Structural analogue-based protein structure domain assembly assisted by deep learning.
Bioinform., 2022

DeepUMQA: ultrafast shape recognition-based protein model quality assessment using deep learning.
Bioinform., 2022

Construct a variable-length fragment library for de novo protein structure prediction.
Briefings Bioinform., 2022

2021
MMpred: a distance-assisted multimodal conformation sampling for de novo protein structure prediction.
Bioinform., 2021

A de novo protein structure prediction by iterative partition sampling, topology adjustment and residue-level distance deviation optimization.
Bioinform., 2021

Distance-guided protein folding based on generalized descent direction.
Briefings Bioinform., 2021

Adaptive Differential Evolution With Information Entropy-Based Mutation Strategy.
IEEE Access, 2021

2020
Underestimation-Assisted Global-Local Cooperative Differential Evolution and the Application to Protein Structure Prediction.
IEEE Trans. Evol. Comput., 2020

CGLFold: a contact-assisted de novo protein structure prediction using global exploration and loop perturbation sampling algorithm.
Bioinform., 2020


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