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《生物系统建模与仿真》课程教学与科研结合的探讨 被引量:1
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作者 劳永华 支晓兴 岑人经 《医疗卫生装备》 CAS 2009年第3期116-118,共3页
论述了国内外生物系统建模与仿真的发展以及该门本科教学课程的重要性,结合建模与仿真基本知识、生物医学工程学术与行业领域传统的建模与仿真、血流循环系统的可视化建模与仿真、生物信息统计与建模分析等内容结构进行了课程设置的探讨... 论述了国内外生物系统建模与仿真的发展以及该门本科教学课程的重要性,结合建模与仿真基本知识、生物医学工程学术与行业领域传统的建模与仿真、血流循环系统的可视化建模与仿真、生物信息统计与建模分析等内容结构进行了课程设置的探讨,并通过教学经验探索教学结合科研的模式,为生物医学工程本科教学课程提供了能够引导本科学生专业科研学习的模式。指出教学和科研相结合是我国本科课程建设发展的必然趋势。 展开更多
关键词 生物医学工程 生物系统建模与仿真 课程 科研
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基于膜计算的生物系统建模方法
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作者 孔元 陈智华 徐金榜 《数学建模及其应用》 2013年第Z2期25-30,共6页
膜计算的研究旨在借鉴细胞、组织,以及人类大脑存储与处理信息的方式,构造高性能生物计算模型,统称为膜系统。膜系统具有分布式结构,并行计算的运行方式,以及扩展性强与容错性高的特点,为生物系统建模从生物计算角度提供了全新的工具。... 膜计算的研究旨在借鉴细胞、组织,以及人类大脑存储与处理信息的方式,构造高性能生物计算模型,统称为膜系统。膜系统具有分布式结构,并行计算的运行方式,以及扩展性强与容错性高的特点,为生物系统建模从生物计算角度提供了全新的工具。主要介绍代谢膜系统、随机膜系统和多重环境的概率膜系统的概念,概述了这3类膜系统在生物系统建模中的应用及其相应的仿真软件。 展开更多
关键词 自然计算 膜计算 膜系 生物系统建模 仿真
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生物系统参数估计的改进粒子群优化算法 被引量:1
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作者 琚新刚 廉飞宇 +3 位作者 董乐 张元 葛宏义 蒋玉英 《计算机工程与设计》 北大核心 2022年第6期1704-1710,共7页
提出一种基于分解技术的粒子群优化算法,通过分解问题到每个决策变量,把PSO算法从多维索空间集中到利用单维空间上。在两个不同的模拟场景和一个由计算机模拟出的新陈代谢系统的真实数据集上,将该算法的均方根误差与迭代无迹卡尔曼滤波... 提出一种基于分解技术的粒子群优化算法,通过分解问题到每个决策变量,把PSO算法从多维索空间集中到利用单维空间上。在两个不同的模拟场景和一个由计算机模拟出的新陈代谢系统的真实数据集上,将该算法的均方根误差与迭代无迹卡尔曼滤波算法、模拟退火算法和传统PSO算法进行比较,仿真和真实数据集上的测试结果表明,该算法的均方根误差,比对比方法分别减少55.16%和19.62%,说明了提出的方法对非线性问题的未知参数估计具有较佳的性能。 展开更多
关键词 生物系统建模 参数估计 迭代无迹卡尔曼滤波 拟退火算法 粒子群优化 非线性动力学 时间分布
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系统生物学的现状与展望 被引量:5
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作者 石铁流 李亦学 《中国科学基金》 CSCD 北大核心 2005年第5期282-286,共5页
作为生物学的一个新领域,系统生物学的兴起及发展为研究生命活动提供了一个全新的思路和方法,它将各种组学的方法综合起来,通过高通量的实验手段,从转录组、蛋白质组、代谢组等方面多层次、全方位地对生物体内的生命活动进行检测,同时... 作为生物学的一个新领域,系统生物学的兴起及发展为研究生命活动提供了一个全新的思路和方法,它将各种组学的方法综合起来,通过高通量的实验手段,从转录组、蛋白质组、代谢组等方面多层次、全方位地对生物体内的生命活动进行检测,同时利用生物信息学的方法和手段对相关的数据进行分析及整合,并在此基础上,对相关的生命活动进行模拟,以期系统地研究和阐明生命活动的规律。本文简单介绍了系统生物学的现状,研究的内容及方法,并对今后的发展提出了一些想法。 展开更多
关键词 生物 生物系统建模 高通量 基因调控网络 蛋白质相互作用网络 现状 生命活动 展望 生物信息学 实验手段
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Gastrointestinal tract modelling in health and disease 被引量:4
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作者 Dong-Hua Liao Jing-Bo Zhao +1 位作者 Hans Gregersen Hans Gregersen 《World Journal of Gastroenterology》 SCIE CAS CSCD 2009年第2期169-176,共8页
The gastrointestinal (GI) tract is the system of organs within multi-cellular animals that takes in food, digests it to extract energy and nutrients, and expels the remaining waste. The various patterns of GI tract fu... The gastrointestinal (GI) tract is the system of organs within multi-cellular animals that takes in food, digests it to extract energy and nutrients, and expels the remaining waste. The various patterns of GI tract function are generated by the integrated behaviour of multiple tissues and cell types. A thorough study of the GI tract requires understanding of the interactions between cells, tissues and gastrointestinal organs in health and disease. This depends on knowledge, not only of numerous cellular ionic current mechanisms and signal transduction pathways, but also of large scale GI tissue structures and the special distribution of the nervous network. A unique way of coping with this explosion in complexity is mathematical and computational modelling; providing a computational framework for the multilevel modelling and simulation of the human gastrointestinal anatomy and physiology. The aim of this review is to describe the current status of biomechanical modelling work of the GI tract in humans and animals, which can be further used to integrate the physiological, anatomical and medical knowledge of the GI system. Such modelling will aid research and ensure that medical professionals benefit, through the provision of relevant and precise information about the patient's condition and GI remodelling in animal disease models. It will also improve the accuracy and efficiency of medical procedures, which could result in reduced cost for diagnosis and treatment. 展开更多
关键词 Gastrointestinal tract Computational modelling BIOMECHANICS REMODELLING DISEASE
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Toward modular construction of cell‐free multienzyme systems
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作者 Yinchen Zhang Ning Nie Yifei Zhang 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 2022年第7期1749-1760,共12页
The implementation of multiple enzymes for chemical production in a cell‐free scenario is an emerging field in biomanufacturing.It enables the redesign and reconstitution of new enzymatic routes for producing chemica... The implementation of multiple enzymes for chemical production in a cell‐free scenario is an emerging field in biomanufacturing.It enables the redesign and reconstitution of new enzymatic routes for producing chemicals that may be hard to obtain from natural pathways.Although the construction of a cell‐free multienzyme system is highly flexible and adaptable,it is challenging to make all enzymatic reactions act in concert.Recently,modular construction has been conceptual‐ized as an effective way to harmonize diverse enzymatic reactions.In this review,we introduce the concept of a multienzyme module and exemplify representative modules found in Nature.We then categorize recent developments of synthetic multienzyme modules into main‐reaction modules and auxiliary modules according to their roles in reaction routes.We highlight four main‐reaction mod‐ules that can perform carbon metabolism,carbon assimilation,protein glycosylation and nonribo‐somal peptide synthesis,and exemplify auxiliary modules used for energy supply,protection and reinforcement for main reactions.The reactor‐level modularization of multienzyme catalysis is also discussed. 展开更多
关键词 Cell-free biosynthesis In vitro synthetic biology Multienzyme system Modular construction Synthetic module
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The Current State and Perspectives of Systems Biology
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作者 Tielui Shi 《Science Foundation in China》 CAS 2006年第1期48-53,共6页
Emerging as a new field in biology recently, Systems Biology provides a branch new way to study the biological activities in organisms. In order to decode the complexity of life systematically, systems biology integra... Emerging as a new field in biology recently, Systems Biology provides a branch new way to study the biological activities in organisms. In order to decode the complexity of life systematically, systems biology integrates the "-omics" and uses the high throughput methods from transcriptomics, protomics and metabonomics to detect the dynamic activities in cell; and then, it incorporates bioinformatics methods to integrate and analyze those data, and simulate the biological processes based on the model built from those integrated data. In this paper, the current state, the research field and the methods for the Systems Biology are introduced bdefly, and then, several ideas about future development in this field are also proposed. 展开更多
关键词 systems biology biology system modeling high throughput gene regulatory network and protein-protein interaction network
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