Ying-Chih Chiang

According to our database, Ying-Chih Chiang authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.

Lantian Yao, Feng Wang, Peilin Xie, Jiahui Guan, Zhihao Zhao, Xuxin He, Xingchen Liu, Ying-Chih Chiang, Tzong-Yi Lee

J. Chem. Inf. Model., 2025

StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations.

Jiahui Guan, Danhong Dong, Peilin Xie, Zhihao Zhao, Yilin Guo, Tzong-Yi Lee, Lantian Yao, Ying-Chih Chiang

J. Chem. Inf. Model., 2025

Graph-RPI: predicting RNA-protein interactions via graph autoencoder and self-supervised learning strategies.

Jiahui Guan, Lantian Yao, Peilin Xie, Zhihao Zhao, Dian Meng, Tzong-Yi Lee, Junwen Wang, Ying-Chih Chiang

Briefings Bioinform., 2025

2024

CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.

Lantian Yao, Peilin Xie, Jiahui Guan, Chia-Ru Chung, Yixian Huang, Yuxuan Pang, Huacong Wu, Ying-Chih Chiang, Tzong-Yi Lee

J. Chem. Inf. Model., 2024

ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.

Lantian Yao, Peilin Xie, Jiahui Guan, Chia-Ru Chung, Wenyang Zhang, Junyang Deng, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee

Briefings Bioinform., 2024

A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.

Jiahui Guan, Lantian Yao, Peilin Xie, Chia-Ru Chung, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee

Briefings Bioinform., 2024

2023

Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.

Jiahui Guan, Lantian Yao, Chia-Ru Chung, Peilin Xie, Yilun Zhang, Junyang Deng, Ying-Chih Chiang, Tzong-Yi Lee

J. Chem. Inf. Model., December, 2023

A risk assessment framework for multidrug-resistant <i>Staphylococcus aureus</i> using machine learning and mass spectrometry technology.

Zhuo Wang, Yuxuan Pang, Chia-Ru Chung, Hsin-Yao Wang, Haiyan Cui, Ying-Chih Chiang, Jorng-Tzong Horng, Jang-Jih Lu, Tzong-Yi Lee

Briefings Bioinform., September, 2023

2022

dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data.

Jhih-Hua Jhong, Lantian Yao, Yuxuan Pang, Zhongyan Li, Chia-Ru Chung, Rulan Wang, Shangfu Li, Wenshuo Li, Mengqi Luo, Renfei Ma, Yuqi Huang, Xiaoning Zhu, Jiahong Zhang, Hexiang Feng, Qifan Cheng, Chunxuan Wang, Kun Xi, Li-Ching Wu, Tzu-Hao Chang, Jorng-Tzong Horng, Lizhe Zhu, Ying-Chih Chiang, Zhuo Wang, Tzong-Yi Lee

Nucleic Acids Res., 2022

miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.

Hsi-Yuan Huang, Yang-Chi-Dung Lin, Shi-Dong Cui, Yixian Huang, Yun Tang, Jia-Tong Xu, Jiayang Bao, Yulin Li, Jia Wen, Hua-Li Zuo, Weijuan Wang, Jing Li, Jie Ni, Yini Ruan, Liping Li, Yidan Chen, Yue-Yang Xie, Zihao Zhu, Xiao-Xuan Cai, Xin-Yi Chen, Lantian Yao, Yigang Chen, Yijun Luo, Shupeng Luxu, Mengqi Luo, Chih-Min Chiu, Kun Ma, Lizhe Zhu, Gui-Juan Cheng, Chen Bai, Ying-Chih Chiang, Liping Wang, Feng-Xiang Wei, Tzong-Yi Lee, Hsien-Da Huang

Nucleic Acids Res., 2022

On the force field optimisation of β-lactam cores using the force field Toolkit.

Qiyang Wu, Tianyang Huang, Songyan Xia, Frank Otto, Tzong-Yi Lee, Hsien-Da Huang, Ying-Chih Chiang

J. Comput. Aided Mol. Des., 2022

2018

Structural and dynamic basis of substrate permissiveness in hydroxycinnamoyltransferase (HCT).

Ying-Chih Chiang, Olesya Levsh, Chun Kei Lam, Jing-Ke Weng, Yi Wang

PLoS Comput. Biol., 2018