フォロー
Kelin Xia
Kelin Xia
Associate Professor, School of Physical & Mathematical Sciences, Nanyang Technological University
確認したメール アドレス: ntu.edu.sg - ホームページ
タイトル
引用先
引用先
年
Persistent homology analysis of protein structure, flexibility, and folding
K Xia, GW Wei
International journal for numerical methods in biomedical engineering 30 (8 …, 2014
3152014
Persistent-homology-based machine learning: a survey and a comparative study
CS Pun, SX Lee, K Xia
Artificial Intelligence Review, 1-45, 2022
203*2022
Persistent spectral–based machine learning (PerSpect ML) for protein-ligand binding affinity prediction
Z Meng, K Xia
Science advances 7 (19), eabc5329, 2021
1602021
Variational multiscale models for charge transport
GW Wei, Q Zheng, Z Chen, K Xia
siam REVIEW 54 (4), 699-754, 2012
1442012
A topological approach for protein classification
Z Cang, L Mu, K Wu, K Opron, K Xia, GW Wei
Computational and Mathematical Biophysics 3 (1), 2015
1372015
Persistent homology for the quantitative prediction of fullerene stability
K Xia, X Feng, Y Tong, GW Wei
Journal of computational chemistry 36 (6), 408-422, 2015
1292015
Multiscale multiphysics and multidomain models—Flexibility and rigidity
K Xia, K Opron, GW Wei
The Journal of chemical physics 139 (19), 2013
1072013
Multidimensional persistence in biomolecular data
K Xia, GW Wei
Journal of computational chemistry 36 (20), 1502-1520, 2015
1012015
Weighted persistent homology for osmolyte molecular aggregation and hydrogen-bonding network analysis
DV Anand, Z Meng, K Xia, Y Mu
Scientific reports 10 (1), 9685, 2020
982020
Fast and anisotropic flexibility-rigidity index for protein flexibility and fluctuation analysis
K Opron, K Xia, GW Wei
The Journal of chemical physics 140 (23), 2014
812014
Weighted persistent homology for biomolecular data analysis
Z Meng, DV Anand, Y Lu, J Wu, K Xia
Scientific reports 10 (1), 2079, 2020
782020
Ollivier persistent Ricci curvature-based machine learning for the protein–ligand binding affinity prediction
JJ Wee, K Xia
Journal of Chemical Information and Modeling 61 (4), 1617-1626, 2021
632021
Forman persistent Ricci curvature (FPRC)-based machine learning models for protein–ligand binding affinity prediction
JJ Wee, K Xia
Briefings in Bioinformatics 22 (6), bbab136, 2021
512021
Multiscale Gaussian network model (mGNM) and multiscale anisotropic network model (mANM)
K Xia, K Opron, GW Wei
The Journal of chemical physics 143 (20), 2015
502015
Multiresolution persistent homology for excessively large biomolecular datasets
K Xia, Z Zhao, GW Wei
The Journal of chemical physics 143 (13), 2015
502015
Multiphysical graph neural network (MP-GNN) for COVID-19 drug design
XS Li, X Liu, L Lu, XS Hua, Y Chi, K Xia
Briefings in bioinformatics 23 (4), bbac231, 2022
492022
Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction
X Liu, H Feng, J Wu, K Xia
Briefings in Bioinformatics 22 (5), bbab127, 2021
492021
Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design
X Liu, X Wang, J Wu, K Xia
Briefings in Bioinformatics 22 (5), bbaa411, 2021
492021
Where nanosensors meet machine learning: Prospects and challenges in detecting Disease X
YX Leong, EX Tan, SX Leong, CS Lin Koh, LB Thanh Nguyen, ...
ACS nano 16 (9), 13279-13293, 2022
452022
Multiscale geometric modeling of macromolecules I: Cartesian representation
K Xia, X Feng, Z Chen, Y Tong, GW Wei
Journal of Computational Physics 257, 912-936, 2014
452014
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