||
续(一)
六、有时候,是水替蛋白质干活
2025年11月在线发表于Angew. Chem. Int. Ed.的一项工作,标题就很挑衅:《水网络作为蛋白质中的疏水识别基序》[11]。BRD4的甲基口袋是公认的疏水热点,可它偏偏被一张水网络围着。作者把乙基换成羟基或氨基,活性下降,自由能计算给出的代价依次约为2.5、3.3与10 kcal/mol。极性基团一进去,水网络被打散,蛋白动力学上升;换成疏水基团,水网络反被强化,整体柔性下降。作者还提示,PDE4与BACE1的同源位点可能存在类似的水网络特征[11]。
这件事的意味比一个靶点要深:疏水识别的“实体”未必是蛋白质的碳原子,也可以是蛋白质预先组织好的一张水网。于是“疏水基序”这个概念,要从“原子团”扩展到“界面结构”。
几句多余的话
把六条线放在一起,能读出三个转向:从标量到分布,从静态到条件,从描述到设计。前两个转向改的是我们怎么“看”疏水,后一个改的是我们怎么“用”疏水。
也要说局限。上述证据里,相当一部分来自粗粒化模拟、短肽凝聚相与体外重构的蛋白脂质体,细胞内的验证仍然偏少。更麻烦的是度量本身:不同实验室用不同标度、不同参照态——水、环己烷、辛醇——数字不能直接横比。Tyr/Phe那个“悖论”,其实就是度量错配的显影:不是谁错了,是两把尺子量的不是同一个环境。
所以,若用一句话概括这五年:疏水基序研究的重心,正从“它有多疏水”移向“它在什么界面、以什么几何、和谁配得上”。前一个问题可以查表,后一个问题得动手做实验。
(本文为文献速览,非系统性综述,选取以近五年公开发表的代表性论文为主;所述结论归原作者,评述部分为笔者个人判断。)
参考文献
[1] van Gils J H M, Gogishvili D, van Eck J, et al. How sticky are our proteins? Quantifying hydrophobicity of the human proteome. Bioinformatics Advances, 2022, 2(1): vbac002. DOI: 10.1093/bioadv/vbac002.
[2] Villegas J A, Levy E D. A unified statistical potential reveals that amino acid stickiness governs nonspecific recruitment of client proteins into condensates. Protein Science, 2022, 31(7): e4361. DOI: 10.1002/pro.4361.
[3] Pitman C, Santiago-McRae E, Lohia R, et al. The Blobulator: a toolkit for identification and visual exploration of hydrophobic modularity in protein sequences. Journal of Chemical Information and Modeling, 2026, 66(2): 820–828. DOI: 10.1021/acs.jcim.5c01585.
[4] Chen G, Leppert A, Poska H, et al. Short hydrophobic loop motifs in BRICHOS domains determine chaperone activity against amorphous protein aggregation but not against amyloid formation. Communications Biology, 2023, 6: 497. DOI: 10.1038/s42003-023-04883-2.
[5] Paananen A, Weich S, Szilvay G R, et al. Quantifying biomolecular hydrophobicity: single molecule force spectroscopy of class II hydrophobins. Journal of Biological Chemistry, 2021, 296: 100728. DOI: 10.1016/j.jbc.2021.100728.
[6] Krainer G, Welsh T J, Joseph J A, et al. Reentrant liquid condensate phase of proteins is stabilized by hydrophobic and non-ionic interactions. Nature Communications, 2021, 12: 1085. DOI: 10.1038/s41467-021-21181-9.
[7] De Sancho D, Lopez X. Crossover in aromatic amino acid interaction strength between tyrosine and phenylalanine in biomolecular condensates. eLife, 2025, 14: e104950. DOI: 10.7554/eLife.104950.
[8] Engberg O, Ulbricht D, Döbel V, et al. Rhomboid-catalyzed intramembrane proteolysis requires hydrophobic matching with the surrounding lipid bilayer. Science Advances, 2022, 8(38): eabq8303. DOI: 10.1126/sciadv.abq8303.
[9] Ji X, Hou Z. Sequence-encoded patterning of stickers modulates biomolecular condensate reconfiguration in IDP systems. The Journal of Chemical Physics, 2026, 164(8): 085103. DOI: 10.1063/5.0323902.
[10] Meng Y, Tang G, Wang R, et al. AI-guided hydrophobic core design of robust six-helix bundle proteins. ACS Nano, 2025, 19(43): 38077–38085. DOI: 10.1021/acsnano.5c13783.
[11] Piticchio S G, Martínez-Cartró M, Scaffidi S, et al. Water networks as hydrophobic recognition motifs in proteins. Angewandte Chemie International Edition, 2026, 65(2). DOI: 10.1002/anie.202521138.
Archiver|手机版|科学网 ( 京ICP备07017567号-12 )
GMT+8, 2026-11-15 12:36
Powered by ScienceNet.cn
Copyright © 2007- 中国科学报社