可药性
背景(考古学)
选择(遗传算法)
计算生物学
药物发现
计算机科学
药物靶点
生物信息学
医学
生物
人工智能
药理学
遗传学
古生物学
基因
作者
Xinyu Wang,Chongyang Chen,Junjie Yan,Yuping Xu,Donghui Pan,Lizhen Wang,Min Yang
出处
期刊:ACS pharmacology & translational science
[American Chemical Society]
日期:2023-07-12
卷期号:6 (8): 1107-1119
被引量:6
标识
DOI:10.1021/acsptsci.3c00081
摘要
Targets play an indispensable and pivotal role in the development of radiopharmaceuticals. However, the initial stages of drug discovery projects are often plagued by frequent failures due to inadequate information on druggability and suboptimal target selection. In this context, we aim to present a comprehensive review of the factors that influence target druggability for diagnostic radiopharmaceuticals. Specifically, we explore the crucial determinants of target specificity, abundance, localization, and positivity rate and their respective implications. Through a detailed analysis of existing protein targets, we elucidate the significance of each factor. By carefully considering and balancing these factors during the selection of targets, more efficacious and targeted radiopharmaceuticals are expected to be designed for the diagnosis of a wide range of diseases in the future.
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