Li C. Xue

Orcid: 0000-0002-2613-538X

According to our database1, Li C. Xue authored at least 13 papers between 2008 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GradPose: a very fast and memory-efficient gradient descent-based tool for superimposing millions of protein structures from computational simulations.
Bioinform., August, 2023

DeepRank-GNN: a graph neural network framework to learn patterns in protein-protein interfaces.
Bioinform., January, 2023

2020
iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machines.
SoftwareX, 2020

iScore: a novel graph kernel-based function for scoring protein-protein docking models.
Bioinform., 2020

2019
Protein-ligand pose and affinity prediction: Lessons from D3R Grand Challenge 3.
J. Comput. Aided Mol. Des., 2019

Large-scale prediction of binding affinity in protein-small ligand complexes: the PRODIGY-LIG web server.
Bioinform., 2019

2018
Performance of HADDOCK and a simple contact-based protein-ligand binding affinity predictor in the D3R Grand Challenge 2.
J. Comput. Aided Mol. Des., 2018

2017
Template-based protein-protein docking exploiting pairwise interfacial residue restraints.
Briefings Bioinform., 2017

2016
PRODIGY: a web server for predicting the binding affinity of protein-protein complexes.
Bioinform., 2016

2011
HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods.
BMC Bioinform., 2011

Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results.
Proceedings of the ACM International Conference on Bioinformatics, 2011

Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2008
Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches.
Proceedings of the Biocomputing 2008, 2008


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