Academic Journal
DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning
| العنوان: | DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning |
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| المؤلفون: | Huang, Yixian, Dong, Danhong, Zhang, Wenyang, Wang, Ruiting, Lin, Yang-Chi-Dung, Zuo, Huali, Huang, Hsi-Yuan, Huang, Hsien-Da |
| المساهمون: | Key Program of Guangdong Basic and Applied Basic Research Fund, Development Fund of Shenzhen Ganghong Group Co., Ltd., Warshel Institute for Computational Biology, Shenzhen Science and Technology Program, National Natural Science Foundation of China, Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation |
| المصدر: | Database ; volume 2024 ; ISSN 1758-0463 |
| بيانات النشر: | Oxford University Press (OUP) |
| سنة النشر: | 2024 |
| الوصف: | In recent years, drug repositioning has emerged as a promising alternative to the time-consuming, expensive and risky process of developing new drugs for diseases. However, the current database for drug repositioning faces several issues, including insufficient data volume, restricted data types, algorithm inaccuracies resulting from the neglect of multidimensional or heterogeneous data, a lack of systematic organization of literature data associated with drug repositioning, limited analytical capabilities and user-unfriendly webpage interfaces. Hence, we have established the first all-encompassing database called DrugRepoBank, consisting of two main modules: the ‘Literature’ module and the ‘Prediction’ module. The ‘Literature’ module serves as the largest repository of literature-supported drug repositioning data with experimental evidence, encompassing 169 repositioned drugs from 134 articles from 1 January 2000 to 1 July 2023. The ‘Prediction’ module employs 18 efficient algorithms, including similarity-based, artificial-intelligence-based, signature-based and network-based methods to predict repositioned drug candidates. The DrugRepoBank features an interactive and user-friendly web interface and offers comprehensive functionalities such as bioinformatics analysis of disease signatures. When users provide information about a drug, target or disease of interest, DrugRepoBank offers new indications and targets for the drug, proposes new drugs that bind to the target or suggests potential drugs for the queried disease. Additionally, it provides basic information about drugs, targets or diseases, along with supporting literature. We utilize three case studies to demonstrate the feasibility and effectiveness of predictively repositioned drugs within DrugRepoBank. The establishment of the DrugRepoBank database will significantly accelerate the pace of drug repositioning. Database URL: https://awi.cuhk.edu.cn/DrugRepoBank |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1093/database/baae051 |
| DOI: | 10.1093/database/baae051/58624099/baae051.pdf |
| الاتاحة: | http://dx.doi.org/10.1093/database/baae051 https://academic.oup.com/database/article-pdf/doi/10.1093/database/baae051/58624099/baae051.pdf |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.C17192BE |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/database/baae051 |
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