摘要
由恶性疟原虫引起的疟疾是世界主要传染病之一。开发一种有效的方法来预测疟原虫的分泌蛋白以开发有效的治疗方法至关重要。 生化分析可以为准确鉴定分泌蛋白提供详细信息,但这些方法既昂贵又耗时。 在本文中,我们总结了基于机器学习的识别算法,并比较了不同计算方法之间的构建策略。 此外,我们还讨论了使用机器学习来提高算法识别疟疾寄生虫分泌的蛋白质的能力。
关键词: 分泌蛋白、疟原虫、机器学习、预测、算法、氨基酸
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