Junjie Wee

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Structural Analysis

Machine Learning

Protein Interaction

Top Venues

Briefings Bioinform.

J. Chem. Inf. Model.

Comput. Biol. Medicine

Publications

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 (2024)
Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia
Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction. CoRR (2024)
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) (2023)
Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR (2023)
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) (2023)
Junjie Wee, Kelin Xia
Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction. Briefings Bioinform. 23 (2) (2022)
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)
Junjie Wee, Kelin Xia
Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction. Briefings Bioinform. 22 (6) (2021)
Junjie Wee, Kelin Xia
Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. 61 (4) (2021)