Li C Xue

Li C Xue

Radboud Universiteit

H-index: 22

Europe-Netherlands

About Li C Xue

Li C Xue, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Artificial Intelligence, machine learning, bioinformatics, computational structural biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning

Synergizing Geometric Deep Learning and Data-Centric Methods for Improved Protein Structural Alignment

Improving generalizability for MHC-I binding peptide predictions through geometric deep learning

DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces

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

The PANDORA software for anchor-restrained peptide: MHC modeling

MetaScore: a novel machine-learning-based approach to improve traditional scoring functions for scoring protein–protein docking conformations

Understanding structure-guided variant effect predictions using 3D convolutional neural networks

Li C Xue Information

University

Position

Radboud University Medical Center

Citations(all)

2633

Citations(since 2020)

2001

Cited By

1286

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

26

i10Index(since 2020)

22

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Li C Xue Skills & Research Interests

Artificial Intelligence

machine learning

bioinformatics

computational structural biology

Top articles of Li C Xue

Title

Journal

Author(s)

Publication Date

DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning

Journal of Open Source Software

Giulia Crocioni

Dani L Bodor

Coos Baakman

Farzaneh M Parizi

Daniel-T Rademaker

...

2024/2/27

Synergizing Geometric Deep Learning and Data-Centric Methods for Improved Protein Structural Alignment

bioRxiv

Daniel Tobias Rademaker

Jarek Miron van Dijk

Farzaneh Meimandi Parizi

Li C Xue

2023

Improving generalizability for MHC-I binding peptide predictions through geometric deep learning

bioRxiv

Dario F Marzella

Giulia Crocioni

Tadija Radusinović

Daniil Lepikhov

Heleen Severin

...

2023/12/5

DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces

Bioinformatics

Manon Réau

Nicolas Renaud

Li C Xue

Alexandre MJJ Bonvin

2023/1/1

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

Bioinformatics

Daniel T Rademaker

Kevin J van Geemen

Li C Xue

2023/8/1

The PANDORA software for anchor-restrained peptide: MHC modeling

Dario F Marzella

Giulia Crocioni

Farzaneh M Parizi

Li C Xue

2023/6/1

MetaScore: a novel machine-learning-based approach to improve traditional scoring functions for scoring protein–protein docking conformations

Biomolecules

Yong Jung

Cunliang Geng

Alexandre MJJ Bonvin

Li C Xue

Vasant G Honavar

2023/1/6

Understanding structure-guided variant effect predictions using 3D convolutional neural networks

Frontiers in molecular biosciences

Gayatri Ramakrishnan

Coos Baakman

Stephan Heijl

Bas Vroling

Ragna van Horck

...

2023

PANDORA v2. 0: Benchmarking peptide-MHC II models and software improvements

Frontiers in Immunology

Farzaneh M Parizi

Dario F Marzella

Gayatri Ramakrishnan

Peter AC ‘t Hoen

Mohammad Hossein Karimi-Jafari

...

2023/12/8

Entropy and variability: A second opinion by deep learning

Biomolecules

Daniel T Rademaker

Li C Xue

Peter AC ‘t Hoen

Gert Vriend

2022/11/23

PANDORA: a fast, anchor-restrained modelling protocol for peptide: MHC complexes

Frontiers in Immunology

Dario F Marzella

Farzaneh M Parizi

Derek van Tilborg

Nicolas Renaud

Daan Sybrandi

...

2022/5/10

DeepRank: a deep learning framework for data mining 3D protein-protein interfaces

Nature communications

Nicolas Renaud

Cunliang Geng

Sonja Georgievska

Francesco Ambrosetti

Lars Ridder

...

2021/12/3

An overview of data‐driven HADDOCK strategies in CAPRI rounds 38‐45

Panagiotis I Koukos

Jorge Roel‐Touris

Francesco Ambrosetti

Cunliang Geng

Jörg Schaarschmidt

...

2020/8

iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines

SoftwareX

Nicolas Renaud

Yong Jung

Vasant Honavar

Cunliang Geng

Alexandre MJJ Bonvin

...

2020/1/1

iScore: a novel graph kernel-based function for scoring protein–protein docking models

Bioinformatics

Cunliang Geng

Yong Jung

Nicolas Renaud

Vasant Honavar

Alexandre MJJ Bonvin

...

2020/1/1

See List of Professors in Li C Xue University(Radboud Universiteit)

Co-Authors

H-index: 60
Balaji Narasimhan

Balaji Narasimhan

Iowa State University

H-index: 47
Drena Dobbs

Drena Dobbs

Iowa State University

H-index: 40
Cornelia Caragea

Cornelia Caragea

University of Illinois at Chicago

H-index: 28
Irina S. Moreira

Irina S. Moreira

Universidade de Coimbra

H-index: 28
João PGLM Rodrigues

João PGLM Rodrigues

Stanford University

H-index: 22
Adrien Melquiond

Adrien Melquiond

Universiteit Utrecht

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