论文标题

软症调节蛋白质复合物的组装路径

Soft disorder modulates the assembly path of protein complexes

论文作者

Seoane, Beatriz, Carbone, Alessandra

论文摘要

已经从许多角度探索了相互作用,柔韧性和蛋白质的相互作用之间的关系:折叠时折叠,核心相对于外围的柔韧性,熵的变化等。在这项工作中,我们提供了统计的证据,以使高度流动和无序的地区相互累及复杂组装。我们订购了PDB中的整个X射线晶体学结构集,涉及涉及相同或非常相似蛋白质链的进行性相互作用的层次结构,产生了40205个层次结构,伴侣数量的增加。然后,我们将它们作为组装途径的代理进行检查。使用此数据库,我们表明,在低聚时,在层次结构之前的复合物中倾向于在被视为柔和无序的(柔性,无定形或缺失残基)的残基上观察到新的界面。我们还排除了这种相关性仅是将分析限制为表面残基而成为表面效应的可能性。有趣的是,我们发现随着伴侣的数量的增加,序列中软无序残基的位置变化。我们的结果表明,有一种蛋白质组装的一般机制,它涉及软混乱并调节蛋白质复合物的组装方式。这项工作强调了从序列预测大蛋白质复合物结构的困难,并强调将无序预测因子与复杂结构的下一代预测指标联系起来的重要性。最后,我们研究了AF2的置信度PLDDT对未结合结构与软混乱的结构预测之间的关系。我们在层次结构中观察到的AF2低置信度残基与所有软障碍区域的结合之间显示了很强的相关性。这为使用PLDDT Metric作为预测组装路径的代理铺平了道路。

The relationship between interactions, flexibility and disorder in proteins has been explored from many angles: folding upon binding, flexibility of the core relative to the periphery, entropy changes, etc. In this work, we provide statistical evidence for the involvement of highly mobile and disordered regions in complex assembly. We ordered the entire set of X-ray crystallographic structures in the PDB into hierarchies of progressive interactions involving identical or very similar protein chains, yielding 40205 hierarchies of complexes with increasing numbers of partners. We then examine them as proxies for the assembly pathways. Using this database, we show that upon oligomerisation, new interfaces tend to be observed at residues that were characterised as softly disordered (flexible, amorphous or missing residues) in the complexes preceding them in the hierarchy. We also rule out the possibility that this correlation is just a surface effect by restricting the analysis to residues on the surface. Interestingly, we find that the location of soft disordered residues in the sequence changes as the number of partners increases. Our results show that there is a general mechanism for protein assembly that involves soft disorder and modulates the way protein complexes are assembled. This work highlights the difficulty of predicting the structure of large protein complexes from sequence and emphasises the importance of linking predictors of disorder to the next generation of predictors of complex structure. Finally, we investigate the relationship between the AF2's confidence metric pLDDT for structure prediction in unbound vs. bound structures, and soft disorder. We show a strong correlation between AF2 low confidence residues and the union of all regions of soft disorder observed in the hierarchy. This paves the way for using the pLDDT metric as a proxy for predicting assembly paths.

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