从药物信息学角度研究药物协同性的研究进展

Research Progress on the Synergistic Effect of Drug Combination from the Perspective of Pharmacoinformatics

关键词:  药物信息学  药物协同性效应  资源数据库  预测模型

Key words:  pharmacoinformatics  synergistic effect of drug combination  information databases  computational models

摘要:

目前临床上很多单一药物的使用已经不能满足复杂疾病的治疗需求，而多药物的联合使用，往往可以增强药效或者降低药物的不良反应，从而体现药物联用的协同性优势。因此药物协同性研究不论对于新药创制还是临床治疗方案的优化均具有积极的意义。相对于传统的实验手段，应用药物信息学方法研究药物的协同性，具有“快速、低成本、绿色”的优势。本文从药物信息学的角度对相关的资源数据库（包括药物及疾病的相关信息）、不同的预测模型以及应用情况进行详细描述，从而为开发新的分析模型提供参考。

Abstract:

The use of single-agent no longer meets the requirements of complex disease treatment in current clinical practice. The combination of multiple drugs can often enhance the efficacy or reduce the adverse reaction of drugs, thus reflecting the synergistic advantages of drug combination. Therefore, the investigation of drug synergy is meaningful for the new drug discovery as well as the optimization of clinical treatment programme. Compared with the traditional experimental methods, pharmacoinformatics is a promising way to identify the synergistic effect of drug combination because of its fast, lower-cost, and green characteristics. This article reviews the advances in the databases that include the information of drug and disease, computational models and applications of the synergistic effect of drug combination from the perspective of pharmacoinformatics approaches, so as to provide reference for the development of new analysis models for drug synergy.