Left-handed conformations of glycyl residues may confer protection against protein aggregation.

Purva Mishra, Rajesh Potlia, Kuljeet Singh Sandhu
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Abstract

The lack of Cβ atom allows glycyl to adopt left-handed Ramachandran conformations, typically disallowed for l-amino acids. The underlying significance remains under-appreciated. Through conformational analysis of glycyls at 1104 disease and 343 benign variant sites, we show that the left-handed glycyls are over-represented (odds ratio > 1.3) at disease variant sites and are evolutionarily conserved. Mutations involving l-disallowed glycyls destabilize native folding by altering free energies (P = 2.4 × 10-4). The l-disallowed glycyls are enriched at the aggregation gatekeepers, more profoundly so in thermophiles (P = 2.0 × 10-6), implying heightened selection to impede aggregation. Mutations of l-disallowed glycyls also reduce the protein solubility (P = 0.001). Due to mostly positive Φ dihedral-angle, Cα atom of l-disallowed glycyl flips to conform a crescent that likely disrupts β-strand alignment, discouraging the intermolecular aggregation of β-strands. Deep learning confirms the predictive value of l-disallowed glycyls in identifying pathogenic variants (accuracy = 0.81 vs. 0.69, area under the curve = 0.88 vs. 0.79). The findings underscore the evolutionary selection of l-disallowed conformations of glycyls to maintain proteostasis by modulating protein stability and aggregation, and suggest applications for disease-associated genetic prioritization and soluble protein design.

甘酰基残基的左旋构象可能具有防止蛋白质聚集的保护作用。
由于缺少c - β原子,甘酰基采用左旋拉马钱德兰构象,这在l-氨基酸中是不允许的。其潜在意义仍未得到充分认识。通过对1104个疾病位点和343个良性变异位点上的甘氨酸的构象分析,我们发现左旋甘氨酸在疾病变异位点上被过度代表(优势比为bb0 1.3),并且具有进化保守性。涉及l-不允许的甘酰基的突变通过改变自由能来破坏天然折叠的稳定性(P = 2.4 × 10-4)。l-不允许的甘酰基在聚集守门人处富集,在嗜热菌中富集程度更高(P = 2.0 × 10-6),这意味着阻碍聚集的选择性增强。l-不允许的甘酰基突变也会降低蛋白质的溶解度(P = 0.001)。由于大部分为正Φ二面角,l-不允许的甘酰基的Cα原子翻转成新月形,这可能会破坏β-链的排列,阻碍β-链的分子间聚集。深度学习证实了l-不允许的甘氨酸在识别致病变异方面的预测价值(准确率= 0.81 vs. 0.69,曲线下面积= 0.88 vs. 0.79)。这些发现强调了l-不允许的甘酰基构象的进化选择,通过调节蛋白质的稳定性和聚集来维持蛋白质稳态,并建议应用于疾病相关的遗传优先排序和可溶性蛋白质设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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