社会-生态系统恢复力的测量方法综述

恢复力和社会-生态系统研究的理论及实践近年来在西方较为流行,然而经过几十年发展,学术界仍旧没有对恢复力的概念达成一致,相应的测量方法更是多种多样。基于恢复力理论对系统相对稳定状态和边界的假设以及恢复力概念3个阶段的演变和理论的发展,总结了测量恢复力的5种方法,得出恢复力测量的3个发展现状或趋势:阈值和断裂点方法依旧是量化恢复力的基本方法;恢复力测量从关注时间转向空间,关注生态转向社会和社会-生态;复杂学和多学科融合的方法是未来发展的主要方向。     

Quantitatively determined self-incompatibility. 5. Detection of multi-locus systems

Multi-locus self-incompatibility systems may be distinguished from single-locus systems by reciprocal differences in backcrosses and between crossed progeny of individual clearly compatible crosses. Such crosses are extremely laborious, so other methods have been suggested. In this note, it is shown that the coefficient of crossability is not a useful discriminant of self-incompatibility, as indeed should be expected from the properties of multi-locus systems, and that linkage methods are also unlikely to be successful. Until more self-incompatibility genes have had their sequences characterised, there is no substitute for the traditional genetical methods.     

Taking the example of computer systems engineering for the analysis of biological cell systems

In this paper, we discuss the potential for the use of engineering methods that were originally developed for the design of embedded computer systems, to analyse biological cell systems. For embedded systems as well as for biological cell systems, design is a feature that defines their identity. The assembly of different components in designs of both systems can vary widely. In contrast to the biology domain, the computer engineering domain has the opportunity to quickly evaluate design options and consequences of its systems by methods for computer aided design and in particular design space exploration. We argue that there are enough concrete similarities between the two systems to assume that the engineering methodology from the computer systems domain, and in particular that related to embedded systems, can be applied to the domain of cellular systems. This will help to understand the myriad of different design options cellular systems have. First we compare computer systems with cellular systems. Then, we discuss exactly what features of engineering methods could aid researchers with the analysis of cellular systems, and what benefits could be gained.     

Taking the example of computer systems engineering for the analysis of biological cell systems

In this paper, we discuss the potential for the use of engineering methods that were originally developed for the design of embedded computer systems, to analyse biological cell systems. For embedded systems as well as for biological cell systems, design is a feature that defines their identity. The assembly of different components in designs of both systems can vary widely. In contrast to the biology domain, the computer engineering domain has the opportunity to quickly evaluate design options and consequences of its systems by methods for computer aided design and in particular design space exploration. We argue that there are enough concrete similarities between the two systems to assume that the engineering methodology from the computer systems domain, and in particular that related to embedded systems, can be applied to the domain of cellular systems. This will help to understand the myriad of different design options cellular systems have. First we compare computer systems with cellular systems. Then, we discuss exactly what features of engineering methods could aid researchers with the analysis of cellular systems, and what benefits could be gained.     

固体载体支承的双层膜系统

固态载体支承的双层膜的各种制备过程都简便易行,较脂质体等系统有重复性好、其物化性质可严格控制等优越性,并可将膜蛋白质分子镶嵌其中,是研究生物膜的良好模型．由于其研究方法日益成熟,固态载体支承的双层膜系统越来越成为研究生物膜与膜蛋白的有利工具之一．对固态载体支承的双层膜的制备技术和研究方法进行了系统的综述,并列举了一些在膜生物物理化学领域的应用．     

Modeling the adaptive immune system: predictions and simulations

MOTIVATION: Immunological bioinformatics methods are applicable to a broad range of scientific areas. The specifics of how and where they might be implemented have recently been reviewed in the literature. However, the background and concerns for selecting between the different available methods have so far not been adequately covered. SUMMARY: Before using predictions systems, it is necessary to not only understand how the methods are constructed but also their strength and limitations. The prediction systems in humoral epitope discovery are still in their infancy, but have reached a reasonable level of predictive strength. In cellular immunology, MHC class I binding predictions are now very strong and cover most of the known HLA specificities. These systems work well for epitope discovery, and predictions of the MHC class I pathway have been further improved by integration with state-of-the-art prediction tools for proteasomal cleavage and TAP binding. By comparison, class II MHC binding predictions have not developed to a comparable accuracy level, but new tools have emerged that deliver significantly improved predictions not only in terms of accuracy, but also in MHC specificity coverage. Simulation systems and mathematical modeling are also now beginning to reach a level where these methods will be able to answer more complex immunological questions.     

Design methods for tubular fermentation systems

Methods for the design of tubular fermentation systems are summarized. The first part, on tubular system hydrodynamics, is concerned with the design methods for gas hold-up, pressure drop, drop-size distribution and actual interfacial area, and with non-ideal flow conditions. This being a critical review, only the more important methods have been selected. More recent design methods for the prediction of oxygen transfer coefficients in fermentation systems and methods of determining of true kinetic relations are also reviewed, accounting for the inevitable non-ideality of flow. General rules for system optimization are presented.     

Parameter estimation in systems biology models using spline approximation

Background  

Mathematical models for revealing the dynamics and interactions properties of biological systems play an important role in computational systems biology. The inference of model parameter values from time-course data can be considered as a "reverse engineering" process and is still one of the most challenging tasks. Many parameter estimation methods have been developed but none of these methods is effective for all cases and can overwhelm all other approaches. Instead, various methods have their advantages and disadvantages. It is worth to develop parameter estimation methods which are robust against noise, efficient in computation and flexible enough to meet different constraints.     

Immunochromatographic and latex-agglutination systems for diphtheria toxin detection

The use of two monoclonal antibody types specific to different epitopes of diphtheria toxin systems have been developed to reveal diphtheria corynebacteria toxigenicity rapidly based on immunochromatographic and latex-agglutination detection of the diphtheria toxin. The methods have been tested on a sample of 36 clinical isolates. The possibility of significant detection of the toxigenic properties of the Corynebacterium strain, grown for 1 day, has been demonstrated. The developed methods allow for the detection of diphtheria toxin in concentrations of 3–4 ng/ml. The developed test systems are a perspective tool for diphtheria diagnostics because of significant time shortening as compared to traditional microbiological methods.     

The changing point-spread function: single-molecule-based super-resolution imaging

Over the past decade, many techniques for imaging systems at a resolution greater than the diffraction limit have been developed. These methods have allowed systems previously inaccessible to fluorescence microscopy to be studied and biological problems to be solved in the condensed phase. This brief review explains the basic principles of super-resolution imaging in both two and three dimensions, summarizes recent developments, and gives examples of how these techniques have been used to study complex biological systems.     

Methods of Model Reduction for Large-Scale Biological Systems: A Survey of Current Methods and Trends

Complex models of biochemical reaction systems have become increasingly common in the systems biology literature. The complexity of such models can present a number of obstacles for their practical use, often making problems difficult to intuit or computationally intractable. Methods of model reduction can be employed to alleviate the issue of complexity by seeking to eliminate those portions of a reaction network that have little or no effect upon the outcomes of interest, hence yielding simplified systems that retain an accurate predictive capacity. This review paper seeks to provide a brief overview of a range of such methods and their application in the context of biochemical reaction network models. To achieve this, we provide a brief mathematical account of the main methods including timescale exploitation approaches, reduction via sensitivity analysis, optimisation methods, lumping, and singular value decomposition-based approaches. Methods are reviewed in the context of large-scale systems biology type models, and future areas of research are briefly discussed.     

计算系统生物学:理论、方法及在药物研发中的应用

计算系统生物学是一个多学科交叉的新兴领域,旨在通过整合海量数据建立其生物系统相互作用的复杂网络。数据的整合和模型的建立需要发展合适的数学方法和软件工具,这也是计算系统生物学的主要任务。生物系统模型有助于从整体上理解生物体的内在功能和特性。同时,生物网络模型在药物研发中的应用也越来越受到制药企业以及新药研发机构的重视,如用于特异性药物作用靶点的预测和药物毒性评估等。该文简要介绍计算系统生物学的常见网络和计算模型,以及建立模型所用的研究方法,并阐述其在建模和分析中的作用及面临的问题和挑战。     

系统生物学——生命科学的新领域

系统生物学是继基因组学、蛋白质组学之后一门新兴的生物学交叉学科,代表21世纪生物学的未来.最近,系统生物学研究机构纷纷成立.在研究上,了解一个复杂的生物系统需要整合实验和计算方法.基因组学和蛋白质组学中的高通量方法为系统生物学发展提供了大量的数据.计算生物学通过数据处理、模型构建和理论分析,成为系统生物学发展的一个必不可缺、强有力的工具.在应用上,系统生物学代表新一代医药开发和疾病防治的方向.     

Stability and performance of ant queue inspired task partitioning methods

In this paper, we consider computing systems that have autonomous helper components which fulfill support functions and that possess reconfigurable hardware so that they can specialize to different types of service tasks. Several self-organized task partitioning methods are proposed that can be used by the helper components to decide how to reconfigure and which service tasks to execute. The proposed task partitioning methods are inspired by the so-called ant queue system that can be found in real ants for partitioning tasks between the individuals. The aim of this study is to investigate basic properties of the task partitioning methods, like stability and efficiency, in order to obtain basic insights into the design of task partitioning methods in self-organized service systems. More precisely, the investigations are threefold: (1) discrete event simulations are used to investigate systems, (2) for a simple version of the task partitioning system analytical stability results are obtained by means of delay differential equation systems and (3) by numerically solving initial value problems.     

Computational structural analysis of protein interactions and networks

Protein interactions have been at the focus of computational biology in recent years. In particular, interest has come from two different communities--structural and systems biology. Here, we will discuss key systems and structural biology methods that have been used for analysis and prediction of protein-protein interactions and the insight these approaches have provided on the nature and organization of protein-protein interactions inside cells.     

Sonoproduction of liposomes and protein particles as templates for delivery purposes

The development of nano and micro delivery systems (DS), so small in size, is growing in importance, such as in drug targeting. In an era where nano is the new trend, micro and nano materials are in the forefront of progress. These systems can be produced by a diversity of methods. However, the use of high-intensity ultrasound offers an easy and versatile tool for nano- and microstructured materials that are often unavailable by conventional methods. Similarly to the synthesis methods that can be used, several starting materials can be applied to produce particulate systems. In this review, the recent strategic development of DS is discussed with emphasis on liposomes and polymer-based, specially protein-based, nanomedicine platforms for drug delivery. Among the variety of applications that materials in the particulate form can have, the control release of drugs is probably the most prominent one, as these have been in the forefront line of interest for biomedical applications. The basic concepts of sonochemical process pertaining to DS are summarized as well as the role of sonochemical procedure to their preparation. The different applications of these systems wrap up this review.     

Statistical methods for detecting molecular adaptation

The past few years have seen the development of powerful statistical methods for detecting adaptive molecular evolution. These methods compare synonymous and nonsynonymous substitution rates in protein-coding genes, and regard a nonsynonymous rate elevated above the synonymous rate as evidence for darwinian selection. Numerous cases of molecular adaptation are being identified in various systems from viruses to humans. Although previous analyses averaging rates over sites and time have little power, recent methods designed to detect positive selection at individual sites and lineages have been successful. Here, we summarize recent statistical methods for detecting molecular adaptation, and discuss their limitations and possible improvements.     

Some multiple-time-scale problems in molecular dynamics

Many physical problems, particularly in chemical and biological systems, involve processes that occur over widely varying time scales. Such problems have motivated the development of new methods for treating multiple-time-scale problems in molecular dynamics (MD). Methods have been developed for determining the vibrational frequencies and normal modes of large systems in full and reduced conformational space. A method is given for quasiharmonic analysis and reduced quasiharmonic analysis.     

Cell-free protein synthesis for proteomics.

The use of cell-free expression systems as an alternative to cell-based methods for protein production is greatly facilitating studies of protein functions. Recent improvements to cell-free systems, and the development of cell-free protein display and microarray technologies, have led to cell-free protein synthesis becoming a powerful tool for large-scale analysis of proteins. This paper reviews the most commonly used cell-free systems and their applications in proteomics.     

Recovery and purification of plant-made recombinant proteins

Plants are becoming commercially acceptable for recombinant protein production for human therapeutics, vaccine antigens, industrial enzymes, and nutraceuticals. Recently, significant advances in expression, protein glycosylation, and gene-to-product development time have been achieved. Safety and regulatory concerns for open-field production systems have also been addressed by using contained systems to grow transgenic plants. However, using contained systems eliminates several advantages of open-field production, such as inexpensive upstream production and scale-up costs. Upstream technological achievements have not been matched by downstream processing advancements. In the past 10 years, the most research progress was achieved in the areas of extraction and pretreatment. Extraction conditions have been optimized for numerous proteins on a case-by-case basis leading to the development of platform-dependent approaches. Pretreatment advances were made after realizing that plant extracts and homogenates have unique compositions that require distinct conditioning prior to purification. However, scientists have relied on purification methods developed for other protein production hosts with modest investments in developing novel plant purification tools. Recently, non-chromatographic purification methods, such as aqueous two-phase partitioning and membrane filtration, have been evaluated as low-cost purification alternatives to packed-bed adsorption. This paper reviews seed, leafy, and bioreactor-based platforms, highlights strategies for the primary recovery and purification of recombinant proteins, and compares process economics between systems. Lastly, the future direction and research needs for developing economically competitive recombinant proteins with commercial potential are discussed.