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Junjie Wee
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2020 – today
- 2024
- [j7]Junjie Wee
, Jiahui Chen
, Kelin Xia, Guo-Wei Wei
:
Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation. Comput. Biol. Medicine 169: 107918 (2024) - 2023
- [j6]Hou Yee Choo, Junjie Wee
, Cong Shen
, Kelin Xia
:
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery. J. Chem. Inf. Model. 63(10): 2928-2935 (2023) - [j5]Jialin Bi
, Junjie Wee
, Xiang Liu, Cunquan Qu, Guanghui Wang, Kelin Xia
:
Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations. J. Chem. Inf. Model. 63(13): 4216-4227 (2023) - [i1]Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia:
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR abs/2306.13699 (2023) - 2022
- [j4]Junjie Wee
, Kelin Xia
:
Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction. Briefings Bioinform. 23(2) (2022) - [j3]Weikang Gong, Junjie Wee
, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia
:
Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation. Briefings Bioinform. 23(4) (2022) - 2021
- [j2]Junjie Wee
, Kelin Xia
:
Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction. Briefings Bioinform. 22(6) (2021) - [j1]Junjie Wee
, Kelin Xia
:
Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. 61(4): 1617-1626 (2021)
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