Lasso(编程语言)
折叠(DSP实现)
蛋白质折叠
化学
合作性
计算生物学
计算机科学
生物
生物化学
电气工程
工程类
万维网
作者
Gabriel da Hora,Myong In Oh,Marcus Mifflin,Lori Digal,Andrew G. Roberts,Jessica M. J. Swanson
标识
DOI:10.26434/chemrxiv-2023-7pglw
摘要
Lasso peptides are a class of natural products characterized by a threaded structure. Given their small size and stability, chemical synthesis would offer tremendous potential for the development of novel therapeutics. However, the accessibility of the pre-folded lasso architecture has limited this advance. To better understand the folding process de novo, simulations are used herein to characterize the folding propensity of microcin J25 (MccJ25), a lasso peptide known for its antimicrobial properties. New algorithms are developed to unambiguously distinguish threaded from non-threaded precursors and determine handedness, a key feature in natural lasso peptides. We find that MccJ25 indeed forms right-handed pre-lassos, in contrast to past predictions but consistent with all natural lasso peptides. Additionally, the native pre-lasso structure is shown to be metastable prior to ring formation but to readily transition to entropically-favored unfolded and non-threaded structures, suggesting de novo lasso folding is rare. However, by modifying the ring forming residues with the appendage of thiol and thioester functionalities, we are able to increase the stability of pre-lasso conformations. Furthermore, conditions leading to protonation of a histidine imidazole side chain further stabilize the modified pre-lasso ensemble. This work highlights the use of computational methods to characterize lasso folding and demonstrates that de novo access to lasso structures can be facilitated by optimizing sequence, unnatural modifications, and reaction conditions like pH.
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