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Chunyan Ao



I am a research assistant at Quan Zou's Lab, where I work on machine learning, and bioinformatic, etc. I am currently studying for a Ph.D. at Xidian University.

Research

Ø Biological sequence modification

Ø Publications

  1. 1. Chunyan Ao, Shihu Jiao, Yansu Wang, Liang Yu, Quan Zou; Biological sequence classification: a review on data and general methods. Research. 2022, 2022: 0011. [data]

  2. 2. Chunyan Ao, Quan Zou, Liang Yu; NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences. Briefings in Bioinformatics. 2022, 23(1): bbab480. [Web server] and [data]

  3. 3. Chunyan Ao, Quan Zou, Liang Yu; RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features. Methods. 2021, DOI: 10.1016/j.ymeth.2021.05.016. [data]

  4. 4. Chunyan Ao, Liang Yu, Quan Zou; Prediction of bio-sequence modifications and the associations with diseases. Briefings in Functional Genomics. 2021, 20(1): 1-18. [data] Editor's Choice Highly Cited Articles from Briefings in Functional Genomics

  5. 5. Chunyan Ao, Yu Zhang, Dapeng Li, Yuming Zhao, Quan Zou; Progress in the Development of Antimicrobial Peptide Prediction Tools. Current Protein and Peptide Science. 2021, 22(3): 211-216.

  6. 6. Chunyan Ao, Wenyang Zhou, Lin Gao, Benzhi Dong, Liang Yu; Prediction of antioxidant proteins using hybrid feature representation method and random forest. Genomics. 2020, 112 (6): 4666-4674. [data]

  7. 7. Chunyan Ao, Shunshan Jin, Hui Ding, Quan Zou, Liang Yu; Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis. Current Pharmaceutical Design. 2020, 26 (26): 3069-3075.

  8. 8. Chunyan Ao, Shunshan Jin, Yuan Lin, Quan Zou; Review of Progress in Predicting Protein Methylation Sites. Current Organic Chemistry. 2019, 23(15): 1663-1670.

Recent Projects

The main project involved is the related research of RNA modification. Biosequence classification and associated data are currently being collected. At the same time, RNA modification data isĀ also being collected, and deep learning methods are being used to develop computational models to predict different modification sites.

Funding

  • 2022-2025 National Natural Science Foundation of China (No.62172122) [Participate]
  • 2022-2025 National Natural Science Foundation of China (No.62172129) [Participate]

Contact

acy196707@163.com

3301661871(qq)