Bridging the gap between target-based and phenotypic-based drug discovery

药物发现 桥接(联网) 计算生物学 表型筛选 表型 计算机科学 生物 生物信息学 遗传学 基因 计算机网络
作者
Cecília R. C. Calado
出处
期刊:Expert Opinion on Drug Discovery [Taylor & Francis]
卷期号:19 (7): 789-798 被引量:12
标识
DOI:10.1080/17460441.2024.2355330
摘要

INTRODUCTION: The unparalleled progress in science of the last decades has brought a better understanding of the molecular mechanisms of diseases. This promoted drug discovery processes based on a target approach. However, despite the high promises associated, a critical decrease in the number of first-in-class drugs has been observed. AREAS COVERED: This review analyses the challenges, advances, and opportunities associated with the main strategies of the drug discovery process, i.e. based on a rational target approach and on an empirical phenotypic approach. This review also evaluates how the gap between these two crossroads can be bridged toward a more efficient drug discovery process. EXPERT OPINION: The critical lack of knowledge of the complex biological networks is leading to targets not relevant for the clinical context or to drugs that present undesired adverse effects. The phenotypic systems designed by considering available molecular mechanisms can mitigate these knowledge gaps. Associated with the expansion of the chemical space and other technologies, these designs can lead to more efficient drug discoveries. Technological and scientific knowledge should also be applied to identify, as early as possible, both drug targets and mechanisms of action, leading to a more efficient drug discovery pipeline.
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