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首页> 外文期刊>Biochemical Engineering Journal >A logic-reasoning based system to harness bioprocess experimental data and knowledge for design
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A logic-reasoning based system to harness bioprocess experimental data and knowledge for design

机译：基于逻辑推理的系统，可利用生物过程实验数据和设计知识

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摘要

Bioprocess design requires substantial resources during the experimental investigation of the options for each bioprocess step. This is both time-consuming and expensive. The amount of data available has increased exponentially since the expansion of new biological drug development Data are heterogeneous, sometimes inconsistent and incomplete, making them difficult to be systematically utilised for analysis for any new bioprocess design. In this paper, we report a novel computational method that harnesses the bioprocess experimental data to assist design decision making, and perhaps identify further needed experiments. First, we develop a new data representation structure to capture the experimental data systematically. Then the ontology for modelling the relationship of data properties is created. A computational system has been developed to search relevant data, or to predict required process conditions, or to suggest a new set of experiments for process development. A prototype for harnessing centrifuga-tion experimental data has been built, and is then used to illustrate the method and demonstrate the type of results that can be obtained. Evaluations show that such a system has significant potential to mine the relevant experimental data to assist new drug bioprocess development, which should reduce process development time and cost
机译：在对每个生物工艺步骤的选择进行实验研究期间，生物工艺设计需要大量资源。这既费时又昂贵。由于新生物药物开发的扩展，可用的数据量呈指数增长。数据是异类的，有时是不一致的和不完整的，这使得它们很难被系统地用于任何新的生物过程设计的分析。在本文中，我们报告了一种新颖的计算方法，该方法利用生物过程实验数据来协助设计决策，并可能确定进一步需要的实验。首先，我们开发一种新的数据表示结构来系统地捕获实验数据。然后创建用于建模数据属性关系的本体。已经开发出一种计算系统来搜索相关数据，或预测所需的过程条件，或建议用于过程开发的一组新的实验。已经建立了利用离心实验数据的原型，然后将其用于说明该方法并演示可获得的结果类型。评估表明，这样的系统具有挖掘相关实验数据以协助新药生物过程开发的巨大潜力，这将减少过程开发时间和成本

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