DL_BBBP: Blood-brain barrier permeability prediction based on molecular property using deep learning

Yu Sun, Han Zhou, Ziyang Wen, Ce Liang, Jie Tang, Lu Wang, Xiumin Shi*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The ability of compounds to pass through the blood-brain barrier is an important factor in drug development related to the central nervous system. Therefore, predicting the blood-brain barrier permeability of compounds at high throughput and providing appropriate candidate compounds are crucial for the development of related drugs. Although traditional experimental methods can also predict the blood-brain barrier permeability of compounds, they are costly and have long time cycle. To assist in related research, this article proposes a neural network model using deep learning algorithm to complete the task of predicting blood-brain barrier permeability of compounds, and names it DL_BBBP. In DL_BBBP, various compounds are characterized using molecular graphs and MACCS molecular fingerprints. Specifically, we conducted feature complementarity processing on MACCS, removed information about molecular substructures to prevent duplication and omission. By extracting features from the MACCS molecular fingerprints and molecular graphs of the compounds, we predict the blood-brain barrier permeability of the compounds and compare the results with some current deep learning models and machine learning methods. The validation results verify that the model’s performance is better than state of the art models, and the prediction of the blood-brain barrier permeability of the compounds is accurate and effective. Therefore, it is believed that this model has great potential in the field of drug development.

源语言英语
主期刊名Fourth International Conference on Biomedicine and Bioinformatics Engineering, ICBBE 2024
编辑Pier Paolo Piccaluga, Ahmed El-Hashash, Xiangqian Guo
出版商SPIE
ISBN(电子版)9781510682443
DOI
出版状态已出版 - 2024
活动4th International Conference on Biomedicine and Bioinformatics Engineering, ICBBE 2024 - Kaifeng, 中国
期限: 14 6月 202416 6月 2024

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
13252
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议4th International Conference on Biomedicine and Bioinformatics Engineering, ICBBE 2024
国家/地区中国
Kaifeng
时期14/06/2416/06/24

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