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首页> 外文期刊>Journal of chemical information and modeling >Understanding Structure-Activity Relationships for Trypanosomal Cysteine Protease Inhibitors by Simulations and Free Energy Calculations
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Understanding Structure-Activity Relationships for Trypanosomal Cysteine Protease Inhibitors by Simulations and Free Energy Calculations

机译:通过模拟和自由能量计算了解促蛋白酶体半胱氨酸蛋白酶抑制剂的结构 - 活性关系

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The protozoan cysteine proteases cruzain in Trypanosoma cruzi and rhodesain in Trypanosoma brucei are therapeutic targets for Chagas disease and Human African Trypanosomiasis (HAT), respectively. A benzimidazole series was previously characterized as potent noncovalent competitive cruzain and rhodesain inhibitors with activity against trypanosomes. Common structure-activity relationships (SAR) trends and structural modifications leading to selectivity against each enzyme were described. However, some of these trends could not be understood based on the reported binding mode of lead compound 1. Therefore, we employed microsecond molecular dynamics simulations and free energy calculations to understand qualitative SAR trends and to quantitatively recapitulate them. Simulations revealed the most stable protein-ligand interactions and provided insights concerning enzyme selectivity. Calculated relative binding free energies of compound 1 analogs exhibited deviations of 1.1 and 2.2 kcal/mol from the experimental values for cruzain and rhodesain, respectively. These data encourage prospective thermodynamic integration (TI) studies to optimize this series and facilitate the prioritization of compounds for synthesis.
机译:原生动物半胱氨酸蛋白酶克鲁松分别是葡萄干瘤的克鲁齐和罗西氏菌的Rhodeain,分别是Chagas疾病和人类非洲锥虫病(帽子)的治疗靶标。苯并咪唑系列以前表征为有效的非共价竞争性裂扰和罗德·抑制剂,其活性对抗锥虫。描述了常见的结构 - 活性关系(SAR)趋势和导致针对每种酶的选择性的结构修饰。然而,基于报告的铅化合物1的结合模式,我们无法理解这些趋势中的一些趋势。因此,我们使用微秒的分子动力学模拟和自由能量计算,以了解定性的SAR趋势并定量重新承载它们。仿真揭示了最稳定的蛋白质 - 配体相互作用,并提供了关于酶选择性的见解。计算的化合物1类似物的相对粘合能量分别显示出1.1和2.2kcal / mol的偏差,分别从Cruzain和Rhodeain的实验值中显示出1.1和2.2 kcal / mol。这些数据鼓励前瞻性热力学集成(TI)研究,以优化该系列并促进化合物的合成优先化。

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    Fundacao Oswaldo Cruz Programa Comp Cient PROCC Grp Biofis Computac &

    Modelagem Mol Av Brasil 4365 BR-21040360 Rio De Janeiro RJ Brazil;

    Univ Innsbruck Inst Gen Inorgan &

    Theoret Chem Innrain 82 A-6020 Innsbruck Tyrol Austria;

    Univ Innsbruck Inst Gen Inorgan &

    Theoret Chem Innrain 82 A-6020 Innsbruck Tyrol Austria;

    Univ Fed Minas Gerais Lab Modelagem Mol &

    Planejamento Farmacos Dept Bioquim &

    Imunol Inst Ciencias Biol Ave Antonio Carlos 6627 BR-31270901 Belo Horizonte MG Brazil;

    Univ Innsbruck Inst Gen Inorgan &

    Theoret Chem Innrain 82 A-6020 Innsbruck Tyrol Austria;

    Fundacao Oswaldo Cruz Programa Comp Cient PROCC Grp Biofis Computac &

    Modelagem Mol Av Brasil 4365 BR-21040360 Rio De Janeiro RJ Brazil;

    Univ Fed Minas Gerais Lab Modelagem Mol &

    Planejamento Farmacos Dept Bioquim &

    Imunol Inst Ciencias Biol Ave Antonio Carlos 6627 BR-31270901 Belo Horizonte MG Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;化学工业;
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