论文标题
最小基因组的接近完整蛋白质结构建模
Near-complete protein structural modelling of the minimal genome
论文作者
论文摘要
近年来，蛋白质三级结构预测已大大改善。在没有结构模板的情况下，可以对各种蛋白质组的相当一部分进行建模。我们询问我们的DMPFOLD方法是否可以在JCVI-Syn3.0最小基因组中对所有蛋白质进行建模，其中包含438种蛋白质。我们发现，除10种蛋白质外，还可以提供有用的三级结构注释。这些模型可以在未知的情况下有助于注释功能，并为缺乏单体模型的29种预测的蛋白质蛋白质相互作用提供覆盖范围。我们还表明，DMPFold在蛋白质上表现良好，其结构自首次出版以来发布。最小基因组可能会在几年内具有完整的结构覆盖范围。
Protein tertiary structure prediction has improved dramatically in recent years. A considerable fraction of various proteomes can be modelled in the absence of structural templates. We ask whether our DMPfold method can model all the proteins without templates in the JCVI-syn3.0 minimal genome, which contains 438 proteins. We find that a useful tertiary structure annotation can be provided for all but 10 proteins. The models may help annotate function in cases where it is unknown, and provide coverage for 29 predicted protein-protein interactions which lacked monomer models. We also show that DMPfold performs well on proteins with structures released since initial publication. It is likely that the minimal genome will have complete structural coverage within a few years.
