The chloroplast is a type of subcellular organelle of green plants and eukaryotic algae, which plays an important role in the photosynthesis process. Since the function of a protein correlates with its location, knowing its subchloroplast localization is helpful for elucidating its functions. However, due to a large number of chloroplast proteins, it is costly and time-consuming to design biological experiments to recognize subchloroplast localizations of these proteins. To address this problem, during the past ten years, twelve computational prediction methods have been developed to predict protein subchloroplast localization. This review summarizes the research progress in this area. We hope the review could provide important guide for further computational study on protein subchloroplast localization.

叶绿体是绿色植物和真核藻类的一种亚细胞器，在光合作用过程中起着重要的作用。由于蛋白质的功能与其位置相关，因此了解其亚叶绿体的定位有助于阐明其功能。然而，由于大量的叶绿体蛋白，设计生物学实验以识别这些蛋白的亚叶绿体定位是昂贵且费时的。为了解决这个问题，在过去的十年中，已经开发了十二种计算预测方法来预测蛋白质叶绿体的定位。综述了该领域的研究进展。我们希望该综述可以为蛋白质亚叶绿体定位的进一步计算研究提供重要的指导。