Martin Lantian Yao (姚岚天)

Kobilka Institute of Innovative Drug Discovery (KIDD)

School of Science and Engineering (SSE)

The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)

Email: lantianyao@link.cuhk.edu.cn

[Google Sholar] [ORCID: 0000-0003-4554-6827] [Linkedin] [Wechat]


I am looking for a postdoctoral position in bioinformatics, with plans to commence in late 2024. If you have any available positions, please don't hesitate to contact me directly at: lantianyao@link.cuhk.edu.cn. Your consideration is greatly appreciated.

Short Bio

I have been engaged in research related to bioinformatics and precision medicine at the Kobilka Institute of Innovative Drug Discovery (Nobel Prize Research Institute) in CUHK-Shenzhen. My primary focus was the application of artificial intelligence-based methodologies to analyze medical data. I dedicated my efforts 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 worked diligently to integrate medical and biological data to construct high-quality global biology databases, such as dbAMP and CircNet. Specifically, my research interests encompass Peptide Drug Discovery, Machine and Deep Learning, Biological Database Design, and Bioinformatics Tool Development.

As of now, I have authored over 10+ peer-reviewed papers published in prestigious journals, including Protein Science (IF=8.0), Nucleic Acids Research (IF=14.9), Briefings in Bioinformatics (IF=9.5), and Bioinformatics (IF=5.8), among others. The cumulative impact factor of these publications exceeds 120, and they have garnered over 300 citations on Google Scholar.

Publications

DeepAFP: an effective computational framework for identifying antifungal peptides based on deep learning

Protein Science (IF = 8.0)

Lantian Yao, Yuntian Zhang, Wenshuo Li, Chia-Ru Chung, Jiahui Guan, Wenyang Zhang, Ying-Chih Chiang*, Tzong-Yi Lee*

Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation

International Journal of Molecular Sciences (IF = 5.6)

Lantian Yao, Wenshuo Li, Yuntian Zhang, Junyang Deng, Yuxuan Pang, Yixian Huang, Chia-Ru Chung, Jinhan Yu, Ying-Chih Chiang*, Tzong-Yi Lee*

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

Nucleic Acids Research (IF = 14.9)

Jhih-Hua Jhong†, Lantian Yao† (Joint first authorship), 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*

Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities

Bioinformatics (IF = 5.8)

Yigang Chen†, Lantian Yao† (Joint first authorship), Jingyi Xu, Zhuo Wang*, Tzong-Yi Lee*

CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers

Nucleic Acids Research (IF = 14.9)

Yigang Chen†, Lantian Yao† (Joint first authorship), 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*

ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides

Applied Sciences (IF = 2.7)

Lantian Yao, Yuxuan Pang, Jingting Wan, Chia-Ru Chung, Jinhan Yu, Jiahui Guan, Clement Leung, Ying-Chih Chiang*, Tzong-Yi Lee*

StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture

International Journal of Molecular Sciences (IF = 5.6)

Jiahui Guan†, Lantian Yao† (Joint first authorship), Chia-Ru Chung, Ying-Chih Chiang*, Tzong-Yi Lee*

AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches

Briefings in Bioinformatics (IF = 9.5)

Yuxuan Pang, Lantian Yao, Jhih-Hua Jhong, Zhuo Wang*, Tzong-Yi Lee*

KinasePhos 3.0: redesign and expansion of the prediction on kinase-specific phosphorylation sites

Genomics, Proteomics and Bioinformatics (IF = 9.5)

Renfei Ma, Shangfu Li, Wenshuo Li, Lantian Yao, Hsien-Da Huang*, Tzong-Yi Lee*

dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications

Nucleic Acids Research (IF = 14.9)

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*

Extraction of microRNA–target interaction sentences from biomedical literature by deep learning approach

Briefings in Bioinformatics (IF = 9.5)

Mengqi Luo, Shangfu Li, Yuxuan Pang, Lantian Yao, Renfei Ma, Hsi-Yuan Huang, Hsien-Da Huang*, Tzong-Yi Lee*

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

Nucleic Acids Research (IF = 14.9)

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*

A Robust Drug–Target Interaction Prediction Framework with Capsule Network and Transfer Learning

International Journal of Molecular Sciences (IF = 5.6)

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*

Academic services

Reviewer for Protein Science (IF=8.0), Gene (IF=3.5).

Teaching

Teaching Assistant, MAT 1002-Calculus at CUHK-Shenzhen.



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