Advances in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs

doi:10.2174/0929867326666190507082559
摘要

生命的最小单位是细胞，其中包含许多蛋白质分子。这些对细胞存活至关重要的功能是由位于其不同细胞器中的这些蛋白质执行的，通常称为“亚细胞位置”。蛋白质的亚细胞定位信息可以提供有关其功能的有用线索。为了揭示细胞水平上的复杂途径，必须先了解细胞中蛋白质的亚细胞定位。因此，分子细胞生物学和蛋白质组学的基本目标之一是确定整个细胞中蛋白质的亚细胞位置。这对于确定药物开发的优先级和选择正确的目标也是必不可少的。不幸的是，仅基于实验来确定蛋白质的亚细胞位置既费时又昂贵。随着在后基因组时代产生的大量蛋白质序列，迫切需要开发一种计算方法，以仅基于它们的序列信息来快速有效地鉴定未鉴定蛋白的亚细胞位置。实际上，在这方面已经取得了很大进展。这篇综述着重于那些能够处理可能同时存在于两个或多个亚细胞定位位点的多标记蛋白的方法。具有这种特性的蛋白质分子对于寻找多靶点药物至关重要，这是当前药物开发的热门趋势。这次审查的重点还在于建立了使用友好的网络服务器的那些方法，以便大多数实验科学家可以使用它们来获得所需的结果，而无需仔细研究所涉及的详细数学。
关键词: 5步规则，多标签蛋白质，多目标药物，整体准确性和指标，局部准确性和指标，绝对真实率，网络服务器。
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DOI https://dx.doi.org/10.2174/0929867326666190507082559	Print ISSN 0929-8673
Publisher Name Bentham Science Publisher	Online ISSN 1875-533X
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