Improving Allergenic Protein Prediction Using Physicochemical Features on Non-Redundant Sequences

Sher Signh, Jr Rou Chiu, Kuei Ling Sun, Emily Chia Yu Su

研究成果: 書貢獻/報告類型會議貢獻

摘要

Despite extensive studies in allergen prediction, current approaches still have room for performance improvement and suffer from the problem of lack of interpretable biological features. Thus, developments of allergen prediction method from sequences have become highly important to facilitate in silico vaccine design. In this study, we propose a systematic approach to predict allergenic proteins by incorporating sequence and physicochemical properties in machine learning algorithms. In addition, predictive performance of previous studies could be overestimated due to high redundancy in the data sets. Therefore, we reduce sequence redundancy in the data set and experiment results show that we achieve better predictive performance when compared with other approaches. This study can help discover new prophylactic and therapeutic vaccines for diseases. Moreover, we analyze immunological features that can provide valuable insights into immunotherapies of allergy and autoimmune diseases in translational bioinformatics.
原文英語
主出版物標題Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019
發行者IEEE Computer Society
ISBN(電子)9781728128160
DOIs
出版狀態已發佈 - 七月 2019
事件18th International Conference on Machine Learning and Cybernetics, ICMLC 2019 - Kobe, 日本
持續時間: 七月 7 2019七月 10 2019

出版系列

名字Proceedings - International Conference on Machine Learning and Cybernetics
2019-July
ISSN(列印)2160-133X
ISSN(電子)2160-1348

會議

會議18th International Conference on Machine Learning and Cybernetics, ICMLC 2019
國家日本
城市Kobe
期間7/7/197/10/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Human-Computer Interaction

指紋 深入研究「Improving Allergenic Protein Prediction Using Physicochemical Features on Non-Redundant Sequences」主題。共同形成了獨特的指紋。

  • 引用此

    Signh, S., Chiu, J. R., Sun, K. L., & Su, E. C. Y. (2019). Improving Allergenic Protein Prediction Using Physicochemical Features on Non-Redundant Sequences. 於 Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019 [8949197] (Proceedings - International Conference on Machine Learning and Cybernetics; 卷 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICMLC48188.2019.8949197