Junjie Wee

According to our database, Junjie Wee authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation.

Junjie Wee, Jiahui Chen, Kelin Xia, Guo-Wei Wei

Comput. Biol. Medicine, February, 2024

Evaluation of AlphaFold 3's Protein-Protein Complexes for Predicting Binding Free Energy Changes upon Mutation.

Junjie Wee, Guo-Wei Wei

J. Chem. Inf. Model., 2024

Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction.

Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia

CoRR, 2024

Preventing future zoonosis: SARS-CoV-2 mutations enhance human-animal cross-transmission.

Junjie Wee, Jiahui Chen, Guo-Wei Wei

Comput. Biol. Medicine, 2024

2023

Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations.

Jialin Bi, Junjie Wee, Xiang Liu, Cunquan Qu, Guanghui Wang, Kelin Xia

J. Chem. Inf. Model., July, 2023

Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.

Hou Yee Choo, Junjie Wee, Cong Shen, Kelin Xia

J. Chem. Inf. Model., May, 2023

Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.

Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia

CoRR, 2023

2022

Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.

Junjie Wee, Kelin Xia

Briefings Bioinform., 2022

Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation.

Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia

Briefings Bioinform., 2022

2021

Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction.

Junjie Wee, Kelin Xia

J. Chem. Inf. Model., 2021

Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction.

Junjie Wee, Kelin Xia

Briefings Bioinform., 2021