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相关概念视频

Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

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The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
 
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Acid–Base Equilibria: Activity-Based Definition of pH01:10

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For an ideal solution, the pH is defined as the negative logarithm of the hydrogen ion concentration. For a non-ideal solution, an accurate measurement of the pH must consider the negative logarithm of the hydrogen ion activity rather than concentration. In such a solution, the pH can be more accurately defined as the negative logarithm of a product of the hydrogen ion concentration and its activity coefficient.
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pH Scale02:41

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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
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Extraction: Effects of pH00:53

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Consider a neutral form of an amine, B, with a partition coefficient, K, in a liquid mixture containing organic and aqueous phases. The pH of the aqueous phase affects the charge on acidic and basic solutes, and the charged form is usually more soluble in the aqueous phase. Suppose the conjugate acid form of the amine is soluble only in the aqueous phase while the base form is soluble in both phases. Then the distribution coefficient, D, can be given as the ratio of amine concentration in the...
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Polyprotic acids of the type H2M constitute two ionizable protons. As a result, on titration with a base, they exhibit two equivalence points in the titration curve. During titration, the species H2M, HM−, and M2− will be present in the solution at different points. The fractions of H2M, HM−, and M2− present at the various instances of the titration are denoted by α0, α1, and α2, respectively.
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用大型语言模型接近最佳pH酶预测

Mark Zaretckii1,2, Pavel Buslaev3, Igor Kozlovskii1,2

  • 1Tetra D AG, Shaffhausen 8200, Switzerland.

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概括
此摘要是机器生成的。

这项研究引入了一种新的语言模型,用于从氨基酸序列中预测酶最佳pH值. 这种计算方法有助于设计用于特定生物技术应用的酶,因为它允许快速的选.

关键词:
酶的最佳pH值是什么大型语言模型.机器学习是机器学习.蛋白质工程工程 蛋白质工程

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科学领域:

  • 生物技术是生物技术.
  • 计算生物学 计算生物学
  • 酶学 是一种酶学.

背景情况:

  • 酶是各种行业的关键生物催化剂,但它们的活性对pH极为敏感.
  • 在特定的pH水平上确定具有最佳活性的酶是酶工程中的一个重大挑战.
  • 目前用于酶优化的方法往往需要广泛的实验选.

研究的目的:

  • 开发一种准确的计算方法,直接从它们的氨基酸序列中预测酶的最佳pH范围.
  • 为了快速在基中选酶候选物,以达到所需的pH值.
  • 支持用于特定生物技术应用的新酶的设计.

主要方法:

  • 开发了一种基于语言模型的方法,以从酶序列中预测最佳的pH范围.
  • 机器学习模型使用各种数据集进行了训练和验证.
  • 使用各种数据分割策略来评估稳定性,包括序列相似性,蛋白质家族和酶分类.

主要成果:

  • 开发的模型表明,在不同蛋白质家族和序列相似性之间,对最佳pH的高预测准确度.
  • 这种方法即使应用于与训练集相似的序列相似度较低的蛋白质,也被证明是可靠的.
  • 该方法在计算上是高效的,促进了高通量虚拟选.

结论:

  • 基于语言模型的方法提供了一个快速而准确的in silico工具,用于预测酶最佳pH值.
  • 这种方法可以显著加快针对生物技术应用的酶的发现和工程.
  • 该方法通过减少对广泛实验验证的需求,提高了酶设计的效率.