摘要
抗癌肽（acp）是一种能在不损伤正常细胞的情况下杀死癌细胞的小肽。近年来，ACP已在临床前应用于癌症治疗。因此，准确的ACP鉴别将促进其临床应用。与劳动密集型实验技术相比，已经提出了一系列识别ACP的计算方法。在本文中，我们简要地总结了当前ACP计算识别的研究进展。本文还讨论了发展可靠的ACP鉴别方法的挑战和未来的展望。我们期望这篇综述能为今后的抗癌肽研究提供新的视角。
关键词: 抗癌肽，疾病，癌症，药物目标，机器学习方法，序列编码方案。
图形摘要
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