Li C. Xue

Radboud University Nijmegen — Netherlands

Biochemistry, Genetics and Molecular Biology · Life Sciences

21h-index3.5kcitations76works1.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Protein Structure and Dynamics(36), Computational Drug Discovery Methods(18), Enzyme Structure and Function(18), vaccines and immunoinformatics approaches(14), RNA and protein synthesis mechanisms(12)

Publications76 total

MHC-Diff 100K pMHC Structure Dataset (Multi-allele)
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
MHC-Diff 100K pMHC Structure Dataset (Multi-allele)
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
iPromoter-MFF: a comprehensive and robust multimodal deep learning framework for accurate prokaryotic promoter identification across multiple species
SSRN Electronic Journal·2026Open Access
Machine learning-based risk prediction model development for acute kidney injury in type 2 myocardial infarction patients
Scientific Reports·2025Open Access
Author Correction: Geometric deep learning improves generalizability of MHC-bound peptide predictions
Communications Biology·2025Open Access
Fast and Accurate Peptide–MHC Structure Prediction via an Equivariant Diffusion Model
2025Open Access
Optimizing lipocalin sequence classification with ensemble deep learning models
PLoS ONE·2025· 1 citedOpen Access
Predicting reverse-bound peptide conformations in MHC Class II with PANDORA
Frontiers in Immunology·2025Open Access
SwiftMHC: A High-Speed Attention Network for MHC-Bound Peptide Identification and 3D Modeling
2025· 1 citedOpen Access
Fuzzy Symbolic Reasoning for Few-Shot KBQA: A CBR-Inspired Generative Approach
Lecture notes in computer science·2025
Geometric deep learning improves generalizability of MHC-bound peptide predictions
Communications Biology·2024· 10 citedOpen Access
Multi-Granularity Graph Representation and Augmentation for Image
2024
Bidirectional Peptide Conformation Prediction for MHC Class II using PANDORA
2024Open Access
SwiftTCR: Efficient computational docking protocol of TCRpMHC-I complexes using restricted rotation matrices
2024· 1 citedOpen Access
Improving generalizability and data efficiency for MHC-I binding peptide predictions through structure-based geometric deep learning
2024Open Access
DeepRank2: Mining 3D Protein Structures with GeometricDeep Learning
The Journal of Open Source Software·2024· 7 citedOpen Access
PANDORA v2.0: Benchmarking peptide-MHC II models and software improvements
Frontiers in Immunology·2023· 13 citedOpen Access
Improving generalizability for MHC-I binding peptide predictions through geometric deep learning
2023· 5 citedOpen Access
PANDORA v2.0: Benchmarking peptide-MHC II models and software improvements
2023Open Access
GradPose: a very fast and memory-efficient gradient descent-based tool for superimposing millions of protein structures from computational simulations
Bioinformatics·2023· 4 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Alexandre M. J. J. Bonvin(25), Cunliang Geng(18), Nicolas Renaud(12), Anna Vangone(11), Vasant Honavar(11), Dario F. Marzella(9), Daniel T. Rademaker(9), Mikaël Trellet(8), Adrien S. J. Melquiond(8), Panagiotis I. Koukos(7), João Rodrigues(6), Jörg Schaarschmidt(6), Drena Dobbs(6), Zeynep Kurkcuoglu(6), Jorge Roel‐Touris(6), Panagiotis L. Kastritis(5), Francesco Ambrosetti(5), Yong Gyu Jung(5), Ezgi Karaca(4), Sonja Georgievska(4)