Lantian Yao (姚岚天)
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I am looking for a faculty or postdoctoral position in the field of bioinformatics and computational biology, with plans to commence in early 2025. If you have any available positions, please feel free to contact me directly at lantianyao@link.cuhk.edu.cn.
I am working at the intersection of machine learning and bioinformatics at the Kobilka Institute of Innovative Drug Discovery (Nobel Prize Research Institute) in CUHK-Shenzhen. My primary focus is on the application of artificial intelligence-based methodologies to analyze healthcare data. I am dedicated to advancing the field of drug discovery, with a particular emphasis on peptide drugs, through the development of novel machine learning algorithms.
Furthermore, I have diligently worked to integrate medical and biological data to construct high-quality global biology databases, such as dbAMP and CircNet. My research interests specifically encompass peptide drug discovery, machine and deep learning, biological database design, multi-omics data analysis, and systems biology.
To date, I have published 20 peer-reviewed papers in top journals such as Protein Science (IF=8.0), Analytical Chemistry (IF=7.4), Nucleic Acids Research (IF=14.9), Briefings in Bioinformatics (IF=9.5), Bioinformatics (IF=5.8). These papers have collectively garnered over 800 citations.
[September 2024] A paper has been accepted by Briefings in Bioinformatics.
[April 2024] A paper has been accepted by Protein Science.
[April 2024] A paper has been accepted by Briefings in Bioinformatics.
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network[Paper]
Lantian Yao, Peilin Xie, Jiahui Guan, Chia-Ru Chung, Wenyang Zhang, Junyang Deng, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee
Briefings in Bioinformatics, 2024, 25(5): bbae460. (SCI, JCR:Q1, Impact Factor: 9.5)
CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network[Paper]
Lantian Yao, Peilin Xie, Jiahui Guan, Chia-Ru Chung, Yixian Huang, Yuxuan Pang, Huacong Wu, Ying-Chih Chiang, Tzong-Yi Lee
Journal of Chemical Information and Modeling 64.14 (2024): 5725-5736. (SCI, JCR:Q1, Impact Factor: 5.6)
AMPActiPred: A three-stage framework for predicting antibacterial peptides and activity levels with deep forest[Paper]
Lantian Yao, Jiahui Guan, Peilin Xie, Chia-Ru Chung, Junyang Deng, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee
Protein Science, 2024, 33(6): e5006. (SCI, JCR:Q1, Impact Factor: 8.0)
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy [Paper]
Jiahui Guan†, Lantian Yao† (†Co-first Author), Peilin Xie, Chia-Ru Chung, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee
Briefings in Bioinformatics, 2024, 25(3): bbae208. (SCI, JCR:Q1, Impact Factor: 9.5)
Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation [Paper]
Lantian Yao, Jiahui Guan, Wenshuo Li, Chia-Ru Chung, Junyang Deng, Ying-Chih Chiang, Tzong-Yi Lee
Analytical Chemistry, 2024, 96(4): 1538-1546. (SCI, JCR:Q1, Impact Factor: 7.4)
KinPred-RNA-Kinase Activity Inference and Cancer Type Classification using Machine Learning on RNA-seq Data [Paper]
Yuntian Zhang†, Lantian Yao† (†Co-first Author), Chia-Ru Chung, Yixian Huang, Shangfu Li, Wenyang Zhang, Yuxuan Pang, Tzong-Yi Lee
iScience, 2024. (SCI, JCR:Q1, Impact Factor: 5.8)
DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning [Paper]
Lantian Yao, Yuntian Zhang, Wenshuo Li, Chia-Ru Chung, Jiahui Guan, Wenyang Zhang, Ying-Chih Chiang, Tzong-Yi Lee
Protein Science, 2023, 32(10): e4758 (SCI, JCR:Q1, Impact Factor: 8.0)
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data [Paper]
Jhih-Hua Jhong†, Lantian Yao† (†Co-first Author), 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 research, 2022, 50(D1): D460-D470. (SCI, JCR:Q1, Impact Factor: 14.9)
CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers [Paper]
Yigang Chen†, Lantian Yao† (†Co-first Author), Yun Tang, Jhih-Hua Jhong, Jingting Wan, Jingyue Chang, Shidong Cui, Yijun Luo, Xiaoxuan Cai, Wenshuo Li, Qi Chen, Hsi-Yuan Huang, Zhuo Wang, Weiming Chen, Tzu-Hao Chang, Fengxiang Wei, Tzong-Yi Lee, Hsien-Da Huang
Nucleic acids research, 2022, 50(D1): D93-D101. (SCI, JCR:Q1, Impact Factor: 14.9)
Accelerating the discovery of anticancer peptides through deep forest architecture with deep graphical representation [Paper]
Lantian Yao, Wenshuo Li, Yuntian Zhang, Junyang Deng, Yuxuan Pang, Yixian Huang, Chia-Ru Chung, Jinhan Yu, Ying-Chih Chiang, Tzong-Yi Lee
International Journal of Molecular Sciences, 2023, 24(5): 4328. (SCI, JCR:Q1, Impact Factor: 5.6)
Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities [Paper]
Yuxuan Pang†, Lantian Yao† (†Co-first Author), Jingyi Xu, Zhuo Wang, Tzong-Yi Lee
Bioinformatics, 2022, 38(24): 5368-5374. (SCI, JCR:Q1, Impact Factor: 5.8)
ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides [Paper]
Lantian Yao, Yuxuan Pang, Jingting Wan, Chia-Ru Chung, Jinhan Yu, Jiahui Guan, Clement Leung, Ying-Chih Chiang, Tzong-Yi Lee
Applied Sciences, 2023, 13(12): 6965. (SCI, JCR:Q1, Impact Factor: 2.7)
Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning [Paper]
Jiahui Guan†, Lantian Yao† (†Co-first Author), Chia-Ru Chung, Peilin Xie, Yilun Zhang, Junyang Deng, Ying-Chih Chiang, Tzong-Yi Lee
Journal of Chemical Information and Modeling, 2023, 63(24): 7886-7898. (SCI, JCR:Q1, Impact Factor: 5.6)
KinasePhos 3.0: redesign and expansion of the prediction on kinase-specific phosphorylation sites [Paper]
Renfei Ma, Shangfu Li, Wenshuo Li, Lantian Yao, Hsien-Da Huang, Tzong-Yi Lee
Genomics, Proteomics and Bioinformatics, 2023, 21(1): 228-241. (SCI, JCR:Q1, Impact Factor: 9.5)
StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture [Paper]
Jiahui Guan†, Lantian Yao† (†Co-first Author), Chia-Ru Chung, Ying-Chih Chiang, Tzong-Yi Lee
International Journal of Molecular Sciences, 2023, 24(12): 10348. (SCI, JCR:Q1, Impact Factor: 5.6)
AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches [Paper]
Yuxuan Pang, Lantian Yao, Jhih-Hua Jhong, Zhuo Wang, Tzong-Yi Lee
Briefings in bioinformatics, 2021, 22(6): bbab263 (SCI, JCR:Q1, Impact Factor: 9.5)
Extraction of microRNA–target interaction sentences from biomedical literature by deep learning approach [Paper]
Mengqi Luo, Shangfu Li, Yuxuan Pang, Lantian Yao, Renfei Ma, Hsi-Yuan Huang, Hsien-Da Huang, Tzong-Yi Lee
Briefings in Bioinformatics, 2023, 24(1): bbac497 (SCI, JCR:Q1, Impact Factor: 9.5)
dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications [Paper]
Zhongyan Li, Shangfu Li, Mengqi Luo, Jhih-Hua Jhong, Wenshuo Li, Lantian Yao, Yuxuan Pang, Zhuo Wang, Rulan Wang, Renfei Ma, Jinhan Yu, Yuqi Huang, Xiaoning Zhu, Qifan Cheng, Hexiang Feng, Jiahong Zhang, Chunxuan Wang, Justin Bo-Kai Hsu, Wen-Chi Chang, Feng-Xiang Wei, Hsien-Da Huang, Tzong-Yi Lee
Nucleic acids research, 2022, 50(D1): D471-D479. (SCI, JCR:Q1, Impact Factor: 14.9)
miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions [Paper]
Hsi-Yuan Huang, Yang-Chi-Dung Lin, Shidong Cui, Yixian Huang, Yun Tang, Jiatong Xu, Jiayang Bao, Yulin Li, Jia Wen, Huali Zuo, Weijuan Wang, Jing Li, Jie Ni, Yini Ruan, Liping Li, Yidan Chen, Yueyang Xie, Zihao Zhu, Xiaoxuan Cai, Xinyi 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, Fengxiang Wei, Tzong-Yi Lee, Hsien-Da Huang
Nucleic acids research, 2022, 50(D1): D222-D230. (SCI, JCR:Q1, Impact Factor: 14.9)
A robust drug-target interaction prediction framework with capsule network and transfer learning [Paper]
Yixian Huang, Hsi-Yuan Huang, Yigang Chen, Yang-Chi-Dung Lin, Lantian Yao, Tianxiu Lin, Junlin Leng, Yuan Chang, Yuntian Zhang, Zihao Zhu, Kun Ma, Yeong-Nan Cheng, Tzong-Yi Lee, Hsien-Da Huang
International Journal of Molecular Sciences, 2023, 24(18): 14061. (SCI, JCR:Q1, Impact Factor: 5.6)
Microbiome
Protein Science
Scientific Report
Gene
BMC Bioinformatics
The Journal of Supercomputing
Mathematical Biosciences and Engineering
Bioinformatics Advances