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EDUCATION

2015.09-2018.07

University of Chinese Academy of Science & Sichuan University | Microbiology (Ph.D)

Doctoral dissertation: Diazotrophic diversity and nitrogenase activity in Chinese Steppe and Gongga Mountain

2012.09-2015.07

Nanjing Normal University | Biotechnology (Master)

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WORK EXPERIENCE

2022.11-Present

University of Electronic Science and Technology of China | Associate Researcher
Supervisor: Prof.Quan Zou

2020.9-2022.11

University of Electronic Science and Technology of China & Shenzhen Polytechnic | Computer Applications Technology (Post-doctor)
Supervisor: Prof. Quan Zou

2018.07-2020.07

Jiangsu Normal University | Lecturer

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RESEARCH INTERESTS

Bioinformatics

Microbe - plant interactions: plant microbiome

Environmental microbial ecology

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SOFTWARE AND WEBSERVER

(1) prPred

(2) prPred-DRLF (Github) (Webserver)

(3) Plant fungal pathogens genome hub

(4) Effector-GAN (Gitlab) (Webserver)

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AWARDS AND CERTIFICATE

2017 National Scholarship

2018 Outstanding Graduate Award

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FUNDING

2024 National Natural Science Foundation of China

2022 China Postdoctoral Science Foundation

2021 China Postdoctoral Science Foundation

2022-2024 National Natural Science Funds of China

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RESEARCH ACHIEVEMENTS

(20)Limuxuan He, Quan Zou, Qi Dai, Shuang Cheng, Yansu Wang*, Adversarial regularized autoencoder graph neural network for microbe-disease associations prediction, Briefings in Bioinformatics, Volume 25, Issue 6, November 2024, bbae584, https://doi.org/10.1093/bib/bbae584

(19) Yaojia Chen, Jiacheng Wang, Quan Zou, Mengting Niu, Yijie Ding, Jiangning Song* and Yansu Wang*. DrugDAGT: a dual-attention graph transformer with contrastive learning improves drug-drug interaction prediction. BMC Biology, DOI: 10.1186/s12915-024-02030-9.2024,22(1): 233.

(18) Yansu Wang,Quan Zou. Deep learning meta-analysis for predicting plant soil-borne fungal disease occurrence from soil microbiome data. Applied Soil Ecology, DOI:10.1016/j.apsoil.2024.105532 (二区TOP,IF=4.8).

(17) Yansu Wang,Quan Zou.Deciphering Microbial Adaptation in the Rhizosphere: Insights into Niche Preference, Functional Profiles, and Cross-Kingdom Co-occurrences. Microbial Ecology, 2024.DOI:10.1007/s00248-024-02390-3 (Q2,IF=3.6).

(16) Lei Xian, Yansu Wang*. Advances in Computational Methods for Protein–Protein Interaction Prediction.Electronics, 2024, 13(6): 1059.

(15) Qinzhong Tian, Pinglu Zhang, Yixiao Zhai, Yansu Wang*, Quan Zou*, Application and Comparison of Machine Learning and Database-Based Methods in Taxonomic Classification of High-Throughput Sequencing Data. Genome Biology and Evolution,2024;, evae102, https://doi.org/10.1093/gbe/evae102.

(14) Yansu Wang, Lei Xu, Quan Zou.Deep learning methods for bioinformatics and biomedicine.Methods. 2023.216. DOI:10.1016/j.ymeth.2023.06.003 (IF=4.8).

(13) Yansu Wang, Ximei Luo, Quan Zou.Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks .Bioinformatics. 2022. DOI:10.1093/bioinformatics/btac374 (IF=6.937).

(12) Yansu Wang, Jie Wu, Jiacheng Yan, Ming Guo, et al. Comparative genome analysis of plant ascomycete fungal pathogens with different lifestyles reveals distinctive virulence strategies.BMC genomics. 2022. 23:34. DOI:10.1186/s12864-021-08165-1. (二区TOP).

(11) Yansu Wang, Lei Xu, Quan Zou, Chen Lin. prPred-DRLF: plant R protein predictor using deep representation learning features. Proteomics. 2021. DOI: 10.1002/pmic.202100161.

(10) Yansu Wang, Murong Zhou, Quan Zou, Lei Xu. Machine learning for phytopathology: from the molecular scale towards the network scale. Briefings in Bioinformatics. 2021. DOI: 10.1093/bib/bbab037 (JCR一区/中科院一区, IF2020=11.622).

(9) Yansu Wang, Pingping Wang, Yingjie Guo, et al. prPred: a predictor to identify plant resistance proteins by incorporating k-spaced amino acid (group) pairs. Frontiers in Bioengineering and Biotechnology. 2021, 8: 1593.

(8) Yansu Wang, Chaonan Li, Bo Tu, Yongping Kou, Xiangzhen Li. Species pool and local ecological assembly processes shape the β-diversity of diazotrophs in grassland soils. Soil Biology and Biochemistry. 2021, 108338. (JCR一区/中科院一区,IF2020=7.609).

(7) Yansu Wang, Yongping Kou, Chaonan Li, et al. Contrasting responses of diazotrophic specialists, opportunists, and generalists to steppe types in Inner Mongolia. CATENA. 2019, 182: 104-168 (JCR一区/中科院一区).

(6) Yansu Wang, Chaonan Li, Zehao Shen, et al. Community assemblage of free-living diazotrophs along the elevational gradient of Mount Gongga. Soil Ecology Letters. 2019, 1(3): 136-146.

(5) Yansu Wang, Chaonan Li, Yongping Kou, et al. Soil pH is a major driver of soil diazotrophic community assembly in Qinghai-Tibet alpine meadows. Soil Biology and Biochemistry. 2017, 115:547-555 (JCR一区/中科院一区).

(4) Yansu Wang, Huan Li, Jiabao Li, Xiangzhen Li. The diversity and co-occurrence patterns of diazotrophs in the steppes of Inner Mongolia. CATENA. 2017, 157: 130-138 (JCR一区/中科院一区).

(3) Yansu Wang, Wei Shi, Linting Huang, et al. The effect of lactic acid bacterial starter culture and chemical additives on wilted rice straw silage. Animal Science Journal. 2016, 87(4): 525-535.

(2) Yansu Wang,Tianhang Wu, Yao Yang, et al. Binding and detoxification of chlorpyrifos by lactic acid bacteria on rice straw silage fermentation. Journal of Environmental Science and Health, Part B. 2016, 51(5): 316-325.

(1) 王彦苏, 周佳宇, 谢星光, 等. 隐蔽型真菌毒素的形成及降解方法的研究进展. 食品科学, 2014, 3: 26.

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