Biomimetic engineering of cellulose-based materials

Biomimetics is a field of science that investigates biological structures and processes for their use as models for the development of artificial systems. Biomimetic approaches have considerable potential in the development of new high-performance materials with low environmental impact. The cell walls of different plant species represent complex and highly sophisticated composite materials that can provide inspiration on how to design and fabricate lightweight materials with unique properties. Such materials can provide environmentally compatible solutions in advanced packaging, electronic devices, vehicles and sports equipment. This review gives an overview of the structures and interactions in natural plant cell walls and describes the first attempts towards mimicking them to develop novel biomaterials.     

Lightweight Design of Mechanical Structures based on Structural Bionic Methodology

With increasing concern over the excessive energy consumption and environment pollution, structural bionics is a viable new tool of lightweight design by mechanical engineers. The structural solutions derived from nature can be successfully transferred into technical construction for maximum structural efficiency from minimal resources. The goal of the study is to develop a standard methodology for bionic mechanical structures with dead-load reduction and performance improvement. Similarity theory and fuzzy assessment method are deployed for selection of analogical samples and analysis based on structure, loading and function similarities. The type spectrum of lightweight design is established for selection convenience and principle extraction, vital to concept designs. Finite element method is used as an effective tool for mechanical performance simulation and comparison. The rapid prototyping, investment casting and Numerical Control (NC) machining are discussed for model fabrication. The static and dynamic test results indicate that the bionic models are lighter but stiffer than the original ones. So by mimicking biological structural principles, the structural bionic design offers a new solution for updating traditional design concepts and achieving maximum structural efficiency.     

Biomimetics and technical textiles: solving engineering problems with the help of nature's wisdom

The significance of inspiration from nature for technical textiles and for fibrous composite materials is demonstrated by examples of already existing technical solutions that either parallel biology or are indeed inspired by biological models. The two different basic types of biomimetic approaches are briefly presented and discussed for the "technical plant stem." The technical plant stem is a biomimetic product inspired by a variety of structural and functional properties found in different plants. The most important botanical templates are the stems of the giant reed (Arundo donax, Poaceae) and of the Dutch rush (Equisetum hyemale, Equisetaceae). After analysis of the structural and mechanical properties of these plants, the physical principles have been deduced and abstracted and finally transferred to technical applications. Modern computer-controlled fabrication methods for producing technical textiles and for structuring the embedding matrix of compound materials render unique possibilities for transferring the complex structures found in plants, which often are optimized on several hierarchical levels, into technical applications. This process is detailed for the technical plant stem, a biomimetic, lightweight, fibrous composite material based on technical textiles with optimized mechanical properties and a gradient structure.     

A new efficient mixture screening design for optimization of media

Screening ingredients for the optimization of media is an important first step to reduce the many potential ingredients down to the vital few components. In this study, we propose a new method of screening for mixture experiments called the centroid screening design. Comparison of the proposed design with Plackett‐Burman, fractional factorial, simplex lattice design, and modified mixture design shows that the centroid screening design is the most efficient of all the designs in terms of the small number of experimental runs needed and for detecting high‐order interaction among ingredients. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009     

Artificial Evolution by Viability Rather than Competition

Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve difficult problems for which analytical approaches are not suitable. In many domains experimenters are not only interested in discovering optimal solutions, but also in finding the largest number of different solutions satisfying minimal requirements. However, the formulation of an effective performance measure describing these requirements, also known as fitness function, represents a major challenge. The difficulty of combining and weighting multiple problem objectives and constraints of possibly varying nature and scale into a single fitness function often leads to unsatisfactory solutions. Furthermore, selective reproduction of the fittest solutions, which is inspired by competition-based selection in nature, leads to loss of diversity within the evolving population and premature convergence of the algorithm, hindering the discovery of many different solutions.Here we present an alternative abstraction of artificial evolution, which does not require the formulation of a composite fitness function. Inspired from viability theory in dynamical systems, natural evolution and ethology, the proposed method puts emphasis on the elimination of individuals that do not meet a set of changing criteria, which are defined on the problem objectives and constraints.Experimental results show that the proposed method maintains higher diversity in the evolving population and generates more unique solutions when compared to classical competition-based evolutionary algorithms. Our findings suggest that incorporating viability principles into evolutionary algorithms can significantly improve the applicability and effectiveness of evolutionary methods to numerous complex problems of science and engineering, ranging from protein structure prediction to aircraft wing design.     

Welcome to the Swamp: Addressing Community Capacity in Ecohealth Research and Intervention

The standpoint from which this article is written is that of development practitioners who work fairly continuously with community transformation processes, and with their peers in many disciplines who are trying to stimulate and support such processes. Drawing on three case examples, the authors put forward four lessons for an ecosystems approach to health development work. First, health and natural resource management professionals, and the technical solutions they create, cannot, by themselves, solve many of the problems communities face. To be effective, solutions have to address a complex set of variables that may be largely invisible to professionals from outside the communities. Creating a map of the human and natural systems within which a particular human health issue arises is often an important first step. Second, another reason why professionals cannot solve complex health challenges on their own is that, in the end, many of the solutions must be implemented by community people from the inside out. Therefore the “map” needs to include human dynamics and community capacity. Third, identifying and assessing the specific capacities that a community needs to address particular health determinants is therefore an important part of health development work. It is critical that community capacity assessment is not undertaken in the abstract, but rather in a way that links capacity assessment with real, ongoing work and through a participatory process that builds understanding and commitment within the community, and identifies clear pathways for future action. Finally, outside professionals working with a community contribute to its capacity to address critical health challenges, not only because of the technical knowledge and skills they bring, but also through the characteristics and attitudes they exhibit. It is therefore important that professionals build their own capacity to role model effective community practice.     

From G Protein-coupled Receptor Structure Resolution to Rational Drug Design

A number of recent technical solutions have led to significant advances in G protein-coupled receptor (GPCR) structural biology. Apart from a detailed mechanistic view of receptor activation, the new structures have revealed novel ligand binding sites. Together, these insights provide avenues for rational drug design to modulate the activities of these important drug targets. The application of structural data to GPCR drug discovery ushers in an exciting era with the potential to improve existing drugs and discover new ones. In this review, we focus on technical solutions that have accelerated GPCR crystallography as well as some of the salient findings from structures that are relevant to drug discovery. Finally, we outline some of the approaches used in GPCR structure based drug design.     

AbDesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences

Computational design of protein function has made substantial progress, generating new enzymes, binders, inhibitors, and nanomaterials not previously seen in nature. However, the ability to design new protein backbones for function—essential to exert control over all polypeptide degrees of freedom—remains a critical challenge. Most previous attempts to design new backbones computed the mainchain from scratch. Here, instead, we describe a combinatorial backbone and sequence optimization algorithm called AbDesign, which leverages the large number of sequences and experimentally determined molecular structures of antibodies to construct new antibody models, dock them against target surfaces and optimize their sequence and backbone conformation for high stability and binding affinity. We used the algorithm to produce antibody designs that target the same molecular surfaces as nine natural, high‐affinity antibodies; in five cases interface sequence identity is above 30%, and in four of those the backbone conformation at the core of the antibody binding surface is within 1 Å root‐mean square deviation from the natural antibodies. Designs recapitulate polar interaction networks observed in natural complexes, and amino acid sidechain rigidity at the designed binding surface, which is likely important for affinity and specificity, is high compared to previous design studies. In designed anti‐lysozyme antibodies, complementarity‐determining regions (CDRs) at the periphery of the interface, such as L1 and H2, show greater backbone conformation diversity than the CDRs at the core of the interface, and increase the binding surface area compared to the natural antibody, potentially enhancing affinity and specificity. Proteins 2015; 83:1385–1406. © 2015 Wiley Periodicals, Inc.     

A Systems Approach to Sustainable Technical Product Design

Many existing methods for sustainable technical product design focus on environmental efficiency while lacking a framework for a holistic, sustainable design approach that includes combined social, technical, economic, and environmental aspects in the whole product life cycle, and that provides guidance on a technical product development level. This research proposes a framework for sustainable technical product design in the case of skis. We developed a ski under the Grown brand, benchmarked according to social, environmental, economic, and technical targets, following an initial sustainability assessment, and delivered the first environmental life cycle assessment (ELCA) and the first social life cycle assessment (SLCA) of skis. The framework applies a virtual development process as a combination of ELCA to calculate the environmental footprint as carbon equivalents of all materials and processes and a technical computer‐aided design (CAD) and computer‐aided engineering (CAE) simulation and virtual optimization using parameter studies for the nearly prototype‐free development of the benchmarked skis. The feedback loops between life cycle assessment (LCA) and virtual simulation led to the elimination of highly energy intensive materials, to the pioneering use of basalt fibers in skis, to the optimization of the use of natural materials using protective coatings from natural resins, and to the optimization of the production process. From an environmental perspective, a minimum 32% reduction in carbon equivalent emissions of materials in relation to other comparably performing skis has been achieved, as well as a pioneering step forward toward transparent communication of the environmental performance by the individual, comparable, and first published ski carbon footprint per volume unit.     

单形格子和单形重心设计统计模型的优化分析方法

单形格子和单形重心设计是两种非常实用的配方试验设计方法,但其统计模型的优化分析却很困难．本文通过对单形格子和单形重心设计基本原理的分析,根据数学规划理论,构建了专门对这两种试验设计的统计模型进行优化分析的方法,同时给出了应用实例．     

Scale-up of cell culture bioreactors using biomechatronic design

Scale-up of cell culture bioreactors is a challenging engineering work that requires wide competence in cell biology, mechanical engineering and bioprocess design. In this article, a new approach for cell culture bioreactor scale-up is suggested that is based on biomechatronic design methodology. The approach differs from traditional biochemical engineering methodology by applying a sequential design procedure where the needs of the users and alternative design solutions are systematically analysed. The procedure is based on the biological and technical functions of the scaled-up bioreactor that are derived in functional maps, concept generation charts and scoring and interaction matrices. Basic reactor engineering properties, such as mass and heat transfer and kinetics are integrated in the procedure. The methodology results in the generation of alternative design solutions that are thoroughly ranked with help of the user needs. Examples from monoclonal antibodies and recombinant protein production illuminate the steps of the procedure. The methodology provides engineering teams with additional tools that can significantly facilitate the design of new production methods for cell culture processes.     

Bayesian natural selection and the evolution of perceptual systems

In recent years, there has been much interest in characterizing statistical properties of natural stimuli in order to better understand the design of perceptual systems. A fruitful approach has been to compare the processing of natural stimuli in real perceptual systems with that of ideal observers derived within the framework of Bayesian statistical decision theory. While this form of optimization theory has provided a deeper understanding of the information contained in natural stimuli as well as of the computational principles employed in perceptual systems, it does not directly consider the process of natural selection, which is ultimately responsible for design. Here we propose a formal framework for analysing how the statistics of natural stimuli and the process of natural selection interact to determine the design of perceptual systems. The framework consists of two complementary components. The first is a maximum fitness ideal observer, a standard Bayesian ideal observer with a utility function appropriate for natural selection. The second component is a formal version of natural selection based upon Bayesian statistical decision theory. Maximum fitness ideal observers and Bayesian natural selection are demonstrated in several examples. We suggest that the Bayesian approach is appropriate not only for the study of perceptual systems but also for the study of many other systems in biology.     

药物设计与同步辐射

当代药物设计是通过阐明药物与靶标相互作用的机理,对药物先导化合物进行改造和优化。利用晶体X射线衍射的方法获得药物与靶标复合物的结构,为药物设计提供最直接有力的依据。同步辐射凭借其高强度、低发散性、波长可调谐性等得天独厚的优势,实现了对药物与靶标复合物结构的高通量测定,大大提高了基于结构的药物设计效率。     

酶分子设计常用策略和进展

酶分子的生物学功能很大程度上是由其三维空间结构和所处溶剂环境共同决定的。因此,优化酶分子的结构性质以及探索其性质最优的溶剂环境是改善酶分子功能以及进行理性设计的一个可行途径。从实际应用的角度来看,分子设计方法可以为酶工程提供一种有效的解决方案。目前,酶分子设计有两个重要的研究方向,包括提高酶分子的催化活力和优化其稳定性。同时,对酶分子设计方法的研究也有助于对蛋白质生物学机理的探索。在近些年的学术界酶分子设计案例中,生物信息学方法得到广泛的应用。本文系统地总结基于生物信息学的酶分子设计方法的背景、策略和一些经典案例。     

Cells under siege: viral glycoprotein interactions at the cell surface

As obligate parasites, viruses are required to enter and replicate within their host, a process which employs many of their proteins to hijack natural cellular processes. High resolution X-ray crystallographic analysis has proven to be an ideal method to visualize the mechanisms by which such virus-host interactions occur and has revealed the innovative capacity of viruses to adapt efficiently to their hosts. In this review, we draw upon recently elucidated paramyxovirus-, arenavirus-, and poxvirus-host protein complex crystal structures to reveal both the capacity of viruses to appropriate one component of a physiological protein-protein binding event (often modifying it to out-compete the host-protein), and the ability to utilize novel binding sites on host cell surface receptors. The structures discussed shed light on a number of biological processes ranging from viral entry to virulence and host antagonism. Drawn together they reveal the common strategies which viruses have evolved to interact with their natural host. The structures also support molecular level rationales for how viruses can be transmitted to unrelated organisms and thus pose severe health risks.     

Structure, mechanism and engineering of a nucleotidylyltransferase as a first step toward glycorandomization

Metabolite glycosylation is affected by three classes of enzymes: nucleotidylyltransferases, which activate sugars as nucleotide diphospho-derivatives, intermediate sugar-modifying enzymes and glycosyltransferases, which transfer the final derivatized activated sugars to aglycon substrates. One of the first crystal structures of an enzyme responsible for the first step in this cascade, alpha-D-glucopyranosyl phosphate thymidylyltransferase (Ep) from Salmonella, in complex with product (UDP-Glc) and substrate (dTTP) is reported at 2.0 A and 2.1 A resolution, respectively. These structures, in conjunction with the kinetic characterization of Ep, clarify the catalytic mechanism of this important enzyme class. Structure-based engineering of Ep produced modified enzymes capable of utilizing 'unnatural' sugar phosphates not accepted by wild type Ep. The demonstrated ability to alter nucleotidylyltransferase specificity by design is an integral component of in vitro glycosylation systems developed for the production of diverse glycorandomized libraries.     

Re-establishing and assessing ecological integrity in riverine landscapes

1. River–floodplain systems are among the most diverse and complex ecosystems. The lack of detailed information about functional relationships and processes at the landscape and catchment scale currently hampers assessment of their ecological status.
2. Intensive use and alteration of riverine landscapes by humans have led to severe degradation of river–floodplain systems, especially in highly industrialised countries. Recent water-related regulations and legislation focussing on high standards of ecological integrity back efforts to restore or rehabilitate these systems.
3. Most restoration projects in the past have suffered from a range of deficits, which pertain to project design, the planning process, the integration of associated disciplines, scaling issues and monitoring.
4. The so-called `Leitbild' (i.e. a target vision) assumes a key role in river restoration and the assessment of ecological integrity in general. The development of such a Leitbild requires a multistep approach. Including explicitly the first step that defines the natural, type-specific reference condition (i.e. a visionary as opposed to an operational Leitbild), has great practical advantages for restoration efforts, primarily because it provides an objective benchmark, as is required by the European Water Framework Directive and other legal documents.
5. Clearly defined assessment criteria are crucial for evaluating ecological integrity, especially in the pre- and postrestoration monitoring phases. Criteria that reflect processes and functions should play a primary role in future assessments, so as to preserve and restore functional integrity as a fundamental component of ecological integrity.
6. Case studies on the Kissimmee River (U.S.A.), the Rhine River (Netherlands and Germany), and the Drau River (Austria) are used to illustrate the fundamental principles underlying successful restoration projects of river–floodplain systems.