The Warburg effect, a widely known characteristic of cancer cells, refers to the utilization of glycolysis under aerobic conditions for extended periods of time. Recent studies have revealed that cancer cells are capable of reprogramming their metabolic pathways to meet vigorous metabolic demands. New anticancer drugs that target the complicated metabolic systems of cancer cells are being developed. Identifying the potential targets of novel compounds that affect cancer metabolism may enable the discovery of new therapeutic targets for cancer treatment, and hasten the development of anticancer drugs. Historically, various drug screening techniques such as the analysis of a compound’s antiproliferative effect on cancer cells and proteomic methods, that enable target identification have been used to obtain many useful drugs from natural products. Here, we review proteomics-based target identification methods applicable to natural products that affect cancer metabolism.

Warburg 效应是癌细胞的一个广为人知的特征，是指在有氧条件下长时间利用糖酵解。最近的研究表明，癌细胞能够重新编程其代谢途径以满足旺盛的代谢需求。正在开发针对癌细胞复杂代谢系统的新型抗癌药物。确定影响癌症代谢的新型化合物的潜在靶点可能有助于发现新的癌症治疗靶点，并加速抗癌药物的开发。从历史上看，各种药物筛选技术（例如分析化合物对癌细胞的抗增殖作用和蛋白质组学方法）已被用于从天然产物中获得许多有用的药物，这些技术能够实现目标识别。