探索LDLR-APOB在越南人群家族性高胆固醇血症中的相互作用:蛋白质-蛋白质对接方法。

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2024-11-28 eCollection Date: 2024-01-01 DOI:10.1177/11779322241301267
Ngoc-Thanh Kim, Doan-Loi Do, Mai-Ngoc Thi Nguyen, Hong-An Le, Thanh-Tung Le, Thanh-Huong Truong
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引用次数: 0

摘要

动脉粥样硬化性心血管疾病(cvd)与家族性高胆固醇血症(FH)等因素密切相关,通常由低密度脂蛋白受体(LDLR)和载脂蛋白B (APOB)突变引起。通过全面的生物信息学分析,我们确定了新的LDLR和APOB突变及其心血管疾病(CVD)意义,重点关注越南人群中的独特变异。我们使用同源性模型来预测蛋白质结构;此外,通过蛋白-蛋白分子对接,我们评估了这些突变如何影响结合亲和力。我们鉴定了野生型和前体LDLR亚型独有的10个新的结合残基,包括ASP-47、GLY-48和GLU-51。对154个配合物的分析显示,有5种异构体具有低结合亲和力和显著的氢键相互作用,分别是APOB (Arg3527Trp)-LDLR (Cys318Arg)、APOB (His3583Leu)-LDLR (Cys104Tyr)、APOB野生-LDLR (Glu228Lys)、APOB (Phe2469Cys)-LDLR (Glu288Lys)和APOB野生-LDLR (Ser130Ter)。这些结果表明,这些蛋白质之间存在强烈的、潜在的有害相互作用。此外,它们突出了CVD发展的分子机制,揭示了潜在的治疗靶点,增强了我们对遗传变异的理解,并可以指导FH的研究。
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Exploring LDLR-APOB Interactions in Familial Hypercholesterolemia in the Vietnamese Population: A Protein-Protein Docking Approach.

Atherosclerotic cardiovascular diseases (CVDs) are closely linked to factors such as familial hypercholesterolemia (FH), often caused by mutations in low-density lipoprotein receptor (LDLR) and apolipoprotein B (APOB). Through a comprehensive bioinformatic analysis, we identified novel LDLR and APOB mutations and their cardiovascular disease (CVD) implications, focusing on unique variants in the Vietnamese population. We used homology modeling to predict protein structures; in addition, through protein-protein molecular docking, we assessed how these mutations affect binding affinities. We identified 10 novel binding residues exclusive to the wild-type and precursor LDLR isoforms, including ASP-47, GLY-48, and GLU-51. Analyses of 154 complexes revealed 5 isoforms with low binding affinities and notable hydrogen-bonding interactions-APOB (Arg3527Trp)-LDLR (Cys318Arg), APOB (His3583Leu)-LDLR (Cys104Tyr), APOB wild-LDLR (Glu228Lys), APOB (Phe2469Cys)-LDLR (Glu288Lys), and APOB wild-LDLR (Ser130Ter). These results suggest strong and potentially detrimental interactions among these proteins. Furthermore, they highlight the molecular mechanisms underlying CVD development, reveal potential therapeutic targets, enhance our understanding of genetic variations, and could guide FH research.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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