5- α -还原酶II型甾体抑制剂结构决定因素的计算研究见解

IF 2.6 4区 生物学 Q2 BIOLOGY
Elkin Sanabria-Chanaga , Edwin L. Bonilla-Rozo
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引用次数: 0

摘要

5- α -还原酶II型(5αR2)是一种重要的蛋白质,参与将睾酮还原为二氢睾酮,二氢睾酮是一种促进前列腺生长的产物,可导致前列腺癌和良性前列腺增生等疾病。本研究对结构关系密切但生物活性差异显著的甾体化合物进行了计算分析。选择一组在一致条件下获得的具有报道的半最大抑制浓度的分子,进行分子对接和分子动力学模拟。考虑到该蛋白的共价抑制机制,我们研究了关键原子距离、均方根偏差和结合自由能来解释其生物活性的显著差异。这些数据表明,抑制能力的关键在于最有利于5αR2口袋内NADPH辅助因子与抑制剂的α,β-不饱和系统之间形成键的构象。考虑到蛋白质口袋富含疏水残基,引入氟等原子,增加配体的疏水性,可能会改变口袋内的有利构象。反过来,这可能会损害配体与NADPH形成共价键的能力。鉴于抑制机制的共价性质,催化位点内的稳定性起次要作用。了解这些结构特征对于设计新的潜在的5αR2抑制剂,特别是甾体化合物,旨在利用共价抑制机制至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights from computational studies about structural determinants of steroidal inhibitors in 5-alpha-reductase type II
5-alpha-reductase type II (5αR2) is an important protein involved in the reduction of testosterone to dihydrotestosterone, a product that promotes prostate growth and can lead to conditions such as prostate cancer and benign prostatic hyperplasia. This study presents a computational analysis of steroidal compounds with close structural relationships but notable differences in their biological activity. A set of molecules with reported half-maximal inhibitory concentrations, obtained under consistent conditions, was selected, and molecular docking and molecular dynamics simulations were performed. Considering the covalent inhibition mechanism of this protein, key atomic distances, root mean square deviations, and binding free energy were investigated to explain the significant differences in biological activity. The data suggest that the key to inhibitory capacity lies in the conformation that optimally facilitates bond formation between the NADPH cofactor and the α,β-unsaturated system of the inhibitors within the 5αR2 pocket. Considering that the protein pocket is rich in hydrophobic residues, introducing an atom such as fluorine, which increases the hydrophobicity of the ligand, may alter the favorable conformation within the pocket. This, in turn, could compromise the ability of the ligand to form a covalent bond with NADPH. Given the covalent nature of the inhibition mechanism, stability within the catalytic site plays a secondary role. Understanding these structural features is crucial for designing new potential 5αR2 inhibitors, particularly steroidal compounds, that aim to leverage a covalent mechanism of inhibition.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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