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蛋白质结晶模型的In Vitro/In Silico集成不确定性量化方法

Daniele Pessina1,2, Jorge Calderon De Anda3, Claire Heffernan3

  • 1Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.

Industrial & engineering chemistry research
|June 26, 2025
PubMed
概括

这项研究提出了一种用于蛋白质结晶建模的新方法,提高了准确性并减少了实验. 它通过解决参数估计挑战来增强生物制造的计算模型.

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相关概念视频

Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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