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Application of Computational Biology and Artificial Intelligence in Drug Design

التفاصيل البيبلوغرافية
العنوان: Application of Computational Biology and Artificial Intelligence in Drug Design
المؤلفون: Yue Zhang, Mengqi Luo, Peng Wu, Song Wu, Tzong-Yi Lee, Chen Bai
المصدر: International Journal of Molecular Sciences, Vol 23, Iss 21, p 13568 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Biology (General)
LCC:Chemistry
مصطلحات موضوعية: computational biology, computer-aided drug design (CADD), artificial intelligence-aided drug design (AIDD), deep learning, Biology (General), QH301-705.5, Chemistry, QD1-999
الوصف: Traditional drug design requires a great amount of research time and developmental expense. Booming computational approaches, including computational biology, computer-aided drug design, and artificial intelligence, have the potential to expedite the efficiency of drug discovery by minimizing the time and financial cost. In recent years, computational approaches are being widely used to improve the efficacy and effectiveness of drug discovery and pipeline, leading to the approval of plenty of new drugs for marketing. The present review emphasizes on the applications of these indispensable computational approaches in aiding target identification, lead discovery, and lead optimization. Some challenges of using these approaches for drug design are also discussed. Moreover, we propose a methodology for integrating various computational techniques into new drug discovery and design.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1422-0067
1661-6596
Relation: https://www.mdpi.com/1422-0067/23/21/13568; https://doaj.org/toc/1661-6596; https://doaj.org/toc/1422-0067
DOI: 10.3390/ijms232113568
URL الوصول: https://doaj.org/article/60eb02eff9864fd3ac35c0f8d88bc6ab
رقم الأكسشن: edsdoj.60eb02eff9864fd3ac35c0f8d88bc6ab
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14220067
16616596
DOI:10.3390/ijms232113568