Prebound State Discovered in the Unbinding Pathway of Fluorinated Variants of the Trypsin–BPTI Complex Using Random Acceleration Molecular Dynamics Simulations

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-06-13 DOI:10.1021/acs.jcim.4c00338
Leon Wehrhan,  and , Bettina G. Keller*, 
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Abstract

The serine protease trypsin forms a tightly bound inhibitor complex with the bovine pancreatic trypsin inhibitor (BPTI). The complex is stabilized by the P1 residue Lys15, which interacts with negatively charged amino acids at the bottom of the S1 pocket. Truncating the P1 residue of wildtype BPTI to α-aminobutyric acid (Abu) leaves a complex with moderate inhibitor strength, which is held in place by additional hydrogen bonds at the protein–protein interface. Fluorination of the Abu residue partially restores the inhibitor strength. The mechanism with which fluorination can restore the inhibitor strength is unknown, and accurate computational investigation requires knowledge of the binding and unbinding pathways. The preferred unbinding pathway is likely to be complex, as encounter states have been described before, and unrestrained umbrella sampling simulations of these complexes suggest additional energetic minima. Here, we use random acceleration molecular dynamics to find a new metastable state in the unbinding pathway of Abu-BPTI variants and wildtype BPTI from trypsin, which we call the prebound state. The prebound state and the fully bound state differ by a substantial shift in the position, a slight shift in the orientation of the BPTI variants, and changes in the interaction pattern. Particularly important is the breaking of three hydrogen bonds around Arg17. Fluorination of the P1 residue lowers the energy barrier of the transition between the fully bound state and prebound state and also lowers the energy minimum of the prebound state. While the effect of fluorination is in general difficult to quantify, here, it is in part caused by favorable stabilization of a hydrogen bond between Gln194 and Cys14. The interaction pattern of the prebound state offers insights into the inhibitory mechanism of BPTI and might add valuable information for the design of serine protease inhibitors.

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利用随机加速分子动力学模拟发现胰蛋白酶-BPTI 复合物氟化变体解除结合途径中的预结合状态
丝氨酸蛋白酶胰蛋白酶与牛胰蛋白酶抑制剂(BPTI)形成紧密结合的抑制剂复合物。该复合物由 P1 残基 Lys15 稳定,Lys15 与 S1 口袋底部带负电荷的氨基酸相互作用。将野生型 BPTI 的 P1 残基截断为 α-氨基丁酸(Abu)后,复合物的抑制强度适中,并通过蛋白质-蛋白质界面上的额外氢键将其固定。对阿布残基进行氟化处理可部分恢复抑制剂强度。氟化可恢复抑制剂强度的机制尚不清楚,准确的计算研究需要了解结合和解除结合的途径。首选的解除结合途径可能很复杂,因为之前已经描述过相遇状态,而且对这些复合物的无约束伞状取样模拟表明还有其他的能量最小值。在这里,我们利用随机加速分子动力学发现了阿布-BPTI 变体和野生型 BPTI 与胰蛋白酶解除结合途径中的一种新的可转移状态,我们称之为预结合态。预结合态与完全结合态的区别在于位置的大幅移动、BPTI 变体方向的轻微移动以及相互作用模式的变化。尤其重要的是 Arg17 周围三个氢键的断裂。P1 残基的氟化降低了完全结合态与预结合态之间转变的能垒,也降低了预结合态的能量最小值。虽然氟化的影响一般难以量化,但在这里,部分原因是 Gln194 和 Cys14 之间的氢键得到了有利的稳定。预结合态的相互作用模式有助于深入了解 BPTI 的抑制机制,并可能为丝氨酸蛋白酶抑制剂的设计提供有价值的信息。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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