Rekhi Shiv, Mittal Jeetain
Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA.
Department of Chemistry, Texas A&M University, College Station, TX 77843, USA.
bioRxiv. 2024 Dec 5:2024.12.01.625774. doi: 10.1101/2024.12.01.625774.
The self-assembly of intrinsically disordered proteins into biomolecular condensates shows a dependence on the primary sequence of the protein, leading to sequence-dependent phase separation. Methods to investigate this sequence-dependent phase separation rely on effective residue-level interaction potentials that quantify the propensity for the residues to remain in the dilute phase versus the dense phase. The most direct measure of these effective potentials are the distribution coefficients of the different amino acids between the two phases, but due to the lack of availability of these coefficients, proxies, most notably hydropathy, have been used. However, recent work has demonstrated the limitations of the assumption of hydropathy-driven phase separation. In this work, we address this fundamental gap by calculating the transfer free energies associated with transferring each amino acid side chain analog from the dilute phase to the dense phase of a model biomolecular condensate. We uncover an interplay between favorable protein-mediated and unfavorable water-mediated contributions to the overall free energies of transfer. We further uncover an asymmetry between the contributions of positive and negative charges in the driving forces for condensate formation. The results presented in this work provide an explanation for several non-trivial trends observed in the literature and will aid in the interpretation of experiments aimed at elucidating the sequence-dependent driving forces underlying the formation of biomolecular condensates.
内在无序蛋白质自组装成生物分子凝聚物显示出对蛋白质一级序列的依赖性,导致序列依赖性相分离。研究这种序列依赖性相分离的方法依赖于有效的残基水平相互作用势,该势量化了残基留在稀相和浓相的倾向。这些有效势的最直接度量是不同氨基酸在两相之间的分配系数,但由于缺乏这些系数,已使用了代理指标,最显著的是亲水性。然而,最近的研究表明了亲水性驱动相分离假设的局限性。在这项工作中,我们通过计算与将每个氨基酸侧链类似物从模型生物分子凝聚物的稀相转移到浓相相关的转移自由能来解决这一基本差距。我们发现了有利的蛋白质介导贡献和不利的水介导贡献对整体转移自由能的相互作用。我们进一步发现了正负电荷在凝聚物形成驱动力中的贡献之间的不对称性。这项工作中呈现的结果为文献中观察到的几个重要趋势提供了解释,并将有助于解释旨在阐明生物分子凝聚物形成背后的序列依赖性驱动力的实验。