Combined Computational-Biochemical Approach Offers an Accelerated Path to Membrane Protein Solubilization

被引:0
|
作者
Pierce, Mariah R. [1 ]
Ji, Jingjing [2 ]
Novak, Sadie X. [1 ]
Sieburg, Michelle A. [1 ]
Nangia, Shivangi [3 ]
Nangia, Shikha [2 ,4 ]
Hougland, James L. [1 ,4 ,5 ]
机构
[1] Syracuse Univ, Dept Chem, Syracuse, NY 13244 USA
[2] Syracuse Univ, Dept Biomed & Chem Engn, Syracuse, NY 13244 USA
[3] Univ Hartford, Dept Chem, West Hartford, CT 06117 USA
[4] BioInspired Syracuse, Syracuse, NY 13244 USA
[5] Syracuse Univ, Dept Biol, Syracuse, NY 13244 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
GHRELIN-O-ACYLTRANSFERASE; MOLECULAR-DYNAMICS; SOFTWARE NEWS; SUBSTRATE; GUI; OVEREXPRESSION; INHIBITION; ACYLATION; PEPTIDE; INSULIN;
D O I
10.1021/acs.jcim.3c00917
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Membrane proteins are difficult to isolate and purify due to their dependence on the surrounding lipid membrane for structural stability. Detergents are often used to solubilize these proteins, with this approach requiring a careful balance between protein solubilization and denaturation. Determining which detergent is most appropriate for a given protein has largely been done empirically through screening, which requires large amounts of membrane protein and associated resources. Here, we describe an alternative to conventional detergent screening using a computational modeling approach to identify the most likely candidate detergents for solubilizing a protein of interest. We demonstrate our approach using ghrelin O-acyltransferase (GOAT), a member of the membrane-bound O-acyltransferase family of integral membrane enzymes that has not been solubilized or purified in active form. A computationally derived GOAT structural model provides the only structural information required for this approach. Using computational analysis of detergent ability to penetrate phospholipid bilayers and stabilize the GOAT structure, a panel of common detergents were rank-ordered for their proposed ability to solubilize GOAT. The simulations were performed at all-atom resolution for a combined simulation time of 24 mu s. Independently, we biologically screened these detergents for their solubilization of fluorescently tagged GOAT constructs. We found computational prediction of protein structural stabilization was the better predictor of detergent solubilization ability, but neither approach was effective for predicting detergents that would support GOAT enzymatic function. The current rapid expansion of membrane protein computational models lacking experimental structural information and our computational detergent screening approach can greatly improve the efficiency of membrane protein detergent solubilization, supporting downstream functional and structural studies.
引用
收藏
页码:7159 / 7170
页数:12
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