Elucidating beta-lactamase functional mechanisms via evolutionary conservation

通过进化保守阐明β-内酰胺酶的功能机制

基本信息

  • 批准号:
    8432993
  • 负责人:
  • 金额:
    $ 32.3万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-01-15 至 2017-12-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Penicillins and chemically related molecules are our most abundant and common used class of antibiotics, which are characterized by a conserved 4-atom ¿-lactam ring. Historically, they have been an effective treatment to gram-positive bacterial infections; however, the cell wall of gram-negative bacteria poses an effective barrier to antibiotic penetration. Conversely, second generation cephalosporins are also effective against gram-negative bacteria because they are able to penetrate the cell wall. Nevertheless, an increasing number of bacteria are resistant due to the enzyme ?-lactamase (BL). BL, which is expressed in the cell wall, hydrolyzes the ? -lactam ring, thus rendering the antibiotic ineffective. Due to decades of antibiotic overuse, BL enzymes have alarmingly evolved additional resistances that are now breaking down our last lines of defense. For example, extended spectrum ? -lactamases (ESBL) also hydrolyze the ? -lactam ring of cephalosporins, which have generally been resistant to BL activity. As such, a better understanding of BL resistance mechanisms is imperative so that new and more effective antibiotics can be developed quickly. There are four common classes of BL enzymes, which reflect specific sequence, structure and antibiotic resistance patterns. The Class A, C and D enzymes share a serine-based hydrolysis, whereas the catalytic mechanism of Class B enzymes is based on a zinc ion. However, little is known about how dynamics and stability vary across the superfamily. Are stability and/or dynamical mechanisms conserved across the superfamily? Are certain mechanisms critical to function? Can mechanistic differences help explain antibiotic resistance patterns? Is allostery conserved across the superfamily? These are the types of unanswered questions this proposal seeks to answer. To that end, we will employ a powerful and fast computational distance constraint model (DCM) to characterize the serine-based classes. While broad characterization across the BL superfamily has not yet been done, a small number of Class A structures have been studied by NMR and molecular dynamics simulation. Interestingly, these structures appear extraordinarily rigid, punctuated by flexible loop regions that may or may not be related to function. Our preliminary DCM characterizations across Class A enzymes reproduce these results. Even so, there is significant diversity within dynamical quantities across the family, which reflects evolutionary out-groups and, in many cases, parallels the onset of extended-spectrum activities. Taken together, these preliminary results highlight how the synthesis of biophysical descriptions with the paradigm of comparative bioinformatics synergistically improves the importance and accuracy of our characterizations. As such, we propose a series of additional studies along these lines to expand our understanding of BL structure and function, potentially paving the way to new therapeutic opportunities.
描述(由申请人提供):青霉素和化学相关分子是我们最丰富和最常用的一类抗生素,其特征在于保守的4原子<$-内酰胺环。从历史上看,它们一直是革兰氏阳性细菌感染的有效治疗方法;然而,革兰氏阴性细菌的细胞壁对抗生素渗透构成了有效屏障。相反,第二代头孢菌素对革兰氏阴性菌也有效,因为它们能够穿透细胞壁。尽管如此,越来越多的细菌是由于酶耐药?内酰胺酶(BL)。BL,这是在细胞壁中表达,水解?- 内酰胺环,从而使抗生素无效。由于几十年来抗生素的过度使用,BL酶已经惊人地进化出额外的抗性,现在正在破坏我们的最后防线。例如,扩展频谱?β-内酰胺酶(ESBL)也水解?- 内酰胺环的头孢菌素,其通常对BL活性具有抗性。因此,更好地了解BL耐药机制是必要的,以便快速开发新的和更有效的抗生素。有四种常见的BL酶,它们反映了特定的序列、结构和抗生素抗性模式。A类、C类和D类酶共有基于丝氨酸的水解,而B类酶的催化机制基于锌离子。然而,很少有人知道动力学和稳定性如何在超家族中变化。稳定性和/或动力学机制在整个超家族中保守吗?某些机制对功能是否至关重要?机制差异能帮助解释抗生素耐药模式吗?变构在超家族中是保守的吗?这些都是该提案试图回答的未回答问题。为此,我们将采用一个强大而快速的计算距离约束模型(DCM)来表征基于丝氨酸的类。虽然BL超家族的广泛表征尚未完成,但已经通过NMR和分子动力学模拟研究了少数A类结构。有趣的是,这些结构看起来非常坚硬,被可能与功能有关或无关的柔性环区域打断。我们对A类酶的初步DCM表征重现了这些结果。即便如此,在动力学量中, 家庭反映了进化的外群体,在许多情况下,与广谱活动的开始相平行。总之,这些初步结果突出了生物物理描述与比较生物信息学范式的合成如何协同提高我们表征的重要性和准确性。因此,我们提出了一系列额外的研究沿着这些路线,以扩大我们的BL结构和功能的理解,潜在的铺平道路,以新的治疗机会。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Donald JACOBS其他文献

Donald JACOBS的其他文献

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{{ truncateString('Donald JACOBS', 18)}}的其他基金

Supplement: New computer for computationally designing peptides to interfere with p53-MDM2 and p53-sirtuin interaction
补充:用于计算设计干扰 p53-MDM2 和 p53-sirtuin 相互作用的肽的新计算机
  • 批准号:
    10798727
  • 财政年份:
    2022
  • 资助金额:
    $ 32.3万
  • 项目类别:
Computationally designing peptides to interfere with p53-MDM2 and p53-sirtuin interaction
通过计算设计干扰 p53-MDM2 和 p53-sirtuin 相互作用的肽
  • 批准号:
    10439131
  • 财政年份:
    2022
  • 资助金额:
    $ 32.3万
  • 项目类别:
Supplement: Student support for computationally designing peptides to interfere with p53-MDM2 and p53-sirtuin interaction
补充:学生支持通过计算设计肽来干扰 p53-MDM2 和 p53-sirtuin 相互作用
  • 批准号:
    10829740
  • 财政年份:
    2022
  • 资助金额:
    $ 32.3万
  • 项目类别:
Predicting protein flexibility and stability
预测蛋白质的灵活性和稳定性
  • 批准号:
    8035662
  • 财政年份:
    2010
  • 资助金额:
    $ 32.3万
  • 项目类别:
Predicting protein flexibility and stability
预测蛋白质的灵活性和稳定性
  • 批准号:
    7269710
  • 财政年份:
    2006
  • 资助金额:
    $ 32.3万
  • 项目类别:
Predicting protein flexibility and stability
预测蛋白质的灵活性和稳定性
  • 批准号:
    7028046
  • 财政年份:
    2006
  • 资助金额:
    $ 32.3万
  • 项目类别:
Predicting protein flexibility and stability
预测蛋白质的灵活性和稳定性
  • 批准号:
    7185134
  • 财政年份:
    2006
  • 资助金额:
    $ 32.3万
  • 项目类别:
Predicting protein flexibility and stability
预测蛋白质的灵活性和稳定性
  • 批准号:
    7369816
  • 财政年份:
    2006
  • 资助金额:
    $ 32.3万
  • 项目类别:
Predicting protein flexibility and stability
预测蛋白质的灵活性和稳定性
  • 批准号:
    7589702
  • 财政年份:
    2006
  • 资助金额:
    $ 32.3万
  • 项目类别:
REAL TIME PROTEIN DOMAIN AND FLEXIBILITY IDENTIFICATION
实时蛋白质结构域和灵活性识别
  • 批准号:
    2715292
  • 财政年份:
    1998
  • 资助金额:
    $ 32.3万
  • 项目类别:

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