Structure,function, and protein taxonomy

This paper considers two recent arguments that structure should not be regarded as the fundamental individuating property of proteins. By clarifying both what it might mean for certain properties to play a fundamental role in a classification scheme and the extent to which structure plays such a role in protein classification, I argue that both arguments are unsound. Because of its robustness, its importance in laboratory practice, and its explanatory centrality, primary structure should be regarded as the fundamental distinguishing characteristic of protein taxonomy.     

Mental Representation and Mental Practice: Experimental Investigation on the Functional Links between Motor Memory and Motor Imagery

Recent research on mental representation of complex action has revealed distinct differences in the structure of representational frameworks between experts and novices. More recently, research on the development of mental representation structure has elicited functional changes in novices'' representations as a result of practice. However, research investigating if and how mental practice adds to this adaptation process is lacking. In the present study, we examined the influence of mental practice (i.e., motor imagery rehearsal) on both putting performance and the development of one''s representation of the golf putt during early skill acquisition. Novice golfers (N = 52) practiced the task of golf putting under one of four different practice conditions: mental, physical, mental-physical combined, and no practice. Participants were tested prior to and after a practice phase, as well as after a three day retention interval. Mental representation structures of the putt were measured, using the structural dimensional analysis of mental representation. This method provides psychometric data on the distances and groupings of basic action concepts in long-term memory. Additionally, putting accuracy and putting consistency were measured using two-dimensional error scores of each putt. Findings revealed significant performance improvements over the course of practice together with functional adaptations in mental representation structure. Interestingly, after three days of practice, the mental representations of participants who incorporated mental practice into their practice regime displayed representation structures that were more similar to a functional structure than did participants who did not incorporate mental practice. The findings of the present study suggest that mental practice promotes the cognitive adaptation process during motor learning, leading to more elaborate representations than physical practice only.     

抗昆虫蝎毒素及其转基因技术的研究与应用进展

本文综述了蝎毒中抗昆虫毒素成分的种类、理化性质、分子结构与功能 ,以及利用抗昆虫蝎毒素基因构建重组微生物杀虫剂和培育抗虫植物的研究与应用的进展情况 ,并就该技术对害虫防治的意义、所存在的生态安全性等问题和应对策略进行了探讨。     

Manipulating anonymity: Streetwalkers’ strategies for safety in the city*

Gender must be understood as a domain of social practice with its own structure and dynamics. An outline of a relational account of gender is given, emphasizing the multiple structures of gender and the way bodies are drawn into social practice. Emerging research on masculinity can best be understood through such an approach, which allows the multiplicity of masculinities, and their interrelations, to be traced. Two case studies are outlined: theoretical work on the relations between masculinities and state institutions, and field research on working‐class masculinities under structural unemployment.     

大川河鱼类区系及其群落生态结构的研究

鱼类区系及其群落生态结构,在理论和实践上都有十分重要的意义。但是,关于鱼类区系的生态结构问题,还未见详细报道。本文通过对大川河鱼类区系及其群落生态结构的分析,探讨鱼类区系及其群落生态结构的规律。     

Testing for Hardy–Weinberg equilibrium in structured populations using genotype or low‐depth next generation sequencing data

Testing for deviations from Hardy–Weinberg equilibrium (HWE) is a common practice for quality control in genetic studies. Variable sites violating HWE may be identified as technical errors in the sequencing or genotyping process, or they may be of particular evolutionary interest. Large‐scale genetic studies based on next‐generation sequencing (NGS) methods have become more prevalent as cost is decreasing but these methods are still associated with statistical uncertainty. The large‐scale studies usually consist of samples from diverse ancestries that make the existence of some degree of population structure almost inevitable. Precautions are therefore needed when analysing these data set, as population structure causes deviations from HWE. Here we propose a method that takes population structure into account in the testing for HWE, such that other factors causing deviations from HWE can be detected. We show the effectiveness of PCAngsd in low‐depth NGS data, as well as in genotype data, for both simulated and real data set, where the use of genotype likelihoods enables us to model the uncertainty.     

A polynomial-time algorithm for de novo protein backbone structure determination from nuclear magnetic resonance data.

We describe an efficient algorithm for protein backbone structure determination from solution Nuclear Magnetic Resonance (NMR) data. A key feature of our algorithm is that it finds the conformation and orientation of secondary structure elements as well as the global fold in polynomial time. This is the first polynomial-time algorithm for de novo high-resolution biomacromolecular structure determination using experimentally recorded data from either NMR spectroscopy or X-ray crystallography. Previous algorithmic formulations of this problem focused on using local distance restraints from NMR (e.g., nuclear Overhauser effect [NOE] restraints) to determine protein structure. This approach has been shown to be NP-hard, essentially due to the local nature of the constraints. In practice, approaches such as molecular dynamics and simulated annealing, which lack both combinatorial precision and guarantees on running time and solution quality, are used routinely for structure determination. We show that residual dipolar coupling (RDC) data, which gives global restraints on the orientation of internuclear bond vectors, can be used in conjunction with very sparse NOE data to obtain a polynomial-time algorithm for structure determination. Furthermore, an implementation of our algorithm has been applied to six different real biological NMR data sets recorded for three proteins. Our algorithm is combinatorially precise, polynomialtime, and uses much less NMR data to produce results that are as good or better than previous approaches in terms of accuracy of the computed structure as well as running time.     

The folding of an enzyme. I. Theory of protein engineering analysis of stability and pathway of protein folding.

The theory, assumptions and limitations are outlined for a simple protein engineering approach to the problem of the stability and pathway of protein folding. It is a general procedure for analysing structure-activity relationships in non-covalent bonding, including enzyme catalysis, that relates experimentally accessible data to changes in non-covalent bonding. Kinetic and equilibrium measurements on the unfolding and refolding of mutant proteins can be used to map the formation of structure in transition states and folding intermediates. For example, the ratio of the changes in the activation energy of unfolding and the free energy of unfolding on mutation is measured to give a parameter phi. There are two extreme values of phi that are often found in practice and may be interpreted in a simple manner. A value of phi = 0 implies that the structure at the site of mutation is as folded in the transition state as it is in the folded state. Conversely, phi = 1 shows that the structure at the site of mutation is as unfolded in the transition state as it is in the unfolded structure. Fractional values of phi are more difficult to interpret and require a more sophisticated approach. The most suitable mutations involve truncation of side-chains to remove moieties that preferably make few interactions with the rest of the protein and do not pair with buried charges. Fractional values of phi found for this type of mutation may imply that there is partial non-covalent bond formation or a mixture of states. The major assumptions of the method are: (1) mutation does not alter the pathway of folding; (2) mutation does not significantly change the structure of the folded state; (3) mutation does not perturb the structure of the unfolded state; and (4) the target groups do not make new interactions with new partners during the course of reaction energy. Assumptions (2) and (3) are not necessarily essential for the simple cases of phi = 0 or 1, the most common values, since effects of disruption of structure can cancel out. Assumption (4) may be checked by the double-mutant cycle procedure, which may be analysed to isolate the effects of just a pair of interactions against a complicated background. This analysis provides the formal basis of the accompanying studies on the stability and pathway of folding of barnase, where it is seen that the theory holds very well in practice.     

A comprehensive comparison of comparative RNA structure prediction approaches

Background  

An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, independent benchmarking of these algorithms is rarely performed as is now common practice for protein-folding, gene-finding and multiple-sequence-alignment algorithms.     

Transforming growth factor of beta-type

Recent data about the structure and properties of the beta-type transforming growth factor as well as evidence about its influence on different target cells are presented. The regulatory action of the factor is shown to depend mainly on the type of tested cells, conditions of their culturing and the presence of other bioregulators of cell proliferation in the medium. The prospects of the beta-type transforming growth factor use in practice are considered.     

A Variance Components Model for Analyzing Repeated Measures Designs with Non-Stationary Error Structure

When data are collected in the form of multiple measurements on several subjects, they are often analyzed as repeated measures data with some stationary error structure assumed for the errors. For data with non-stationary error structure, the multivariate model is often used. The multivariate model imposes restrictions that are often not met in practice by data of such type. At the same time, they ignore valuable information in the data that are related to time dependencies and time relations. In this paper, we propose a model that is a reparametrization of the multivariate model and is suitable to analyze general repeated measures designs with non-stationary error structure. The model is shown to be a variance components model whose components are estimated using the method of maximum likelihood. Several other properties of the model are derived and discussed including tests of significance. Finally, an example on neurological data is included to demonstrate its application in biological sciences.     

The need to incorporate human variation and evolutionary theory in forensic anthropology: A call for reform

In 1992, Norm Sauer called for a language shift in which practitioners would move away from the socially loaded term “race” and replace it with the less provocative term “ancestry.” While many heeded the call and moved towards ancestry in their research and reports, the actual approach to research and analysis did not change. In response to this change, there was a large growth in ancestry estimation method development in the early decade of the 2000s. However, the practice of ancestry estimation did not adequately incorporate evolutionary theory in interpretation or trait selection and continued with little critical reflection. In the past decade, there has been an increase in ancestry validation methods with little critique of the “race” concept or discussion of modern human variation or reference samples. To advance, forensic anthropologists need to reckon with the practice of ancestry estimation as it is currently practiced. We are calling for another reform in the axiom focusing on evolutionary theory, population history, trait selection, and population-level reference samples. The practice needs to abandon the terms ancestry and race completely and recalibrate to an analysis of population affinity. Population affinity is a statistical approach based on the underlying population structure that would allow the understanding of how microevolutionary forces act in concert with historical events (e.g., colonization, the Transatlantic Slave Trade, etc.) to shape modern human variation. This is not to be confused with geographic ancestry that all too often can be perceived as interchangeable with social race and as an affirmation of the biological concept of race. It is time to critically evaluate the social and scientific implications of the current practice of ancestry estimation, and re-frame our approach to studying and analyzing modern human variation through a population structure approach.     

Population structure of species: Eco-geographic units and genetic differentiation between populations

A two-step approach, based on a combined use of environmental, geographic, and genetic data, is suggested for studying population structures of species. First, populations are grouped into eco-geographic units (EGUs) according to the environmental gradients in the studied part of the species range, the types of life strategies, and other non-genetic characteristics that are presumably associated with adaptation and interpopulation gene flows. Second, the selected EGUs are tested for their congruence with genetic data by comparing the genetic differentiation between populations within EGUs to that between populations of different EGUs. Some of the issues discussed are as follows: the relationship of the EGU concept with the concepts of biogeocenosis and evolutionarily significant units (ESUs); designing EGUs in practice; the level of EGUs in a hierarchical population structure; and the weights of genetic and phenotypic markers in estimating population differentiation. The population structure of a salmonid fish, the Sakhalin taimen, in terms of eco-geographic units is considered as an example.     

A 9 angstroms single particle reconstruction from CCD captured images on a 200 kV electron cryomicroscope

Sub-nanometer resolution structure determination is becoming a common practice in electron cryomicroscopy of macromolecular assemblies. The data for these studies have until now been collected on photographic film. Using cytoplasmic polyhedrosis virus (CPV), a previously determined structure, as a test specimen, we show the feasibility of obtaining a 9 angstroms structure from images acquired from a 4 k x 4 k Gatan CCD on a 200 kV electron cryomicroscope. The match of the alpha-helices in the protein components of the CPV with the previous structure of the same virus validates the suitability of this type of camera as the recording media targeted for single particle reconstructions at sub-nanometer resolution.     

蛇毒丝氨酸蛋白酶结构与功能关系

蛇毒丝氨酸蛋白酶(snake venome serine proteinases,SVSP)是分布于多种蛇毒中的一类蛋白质水解酶,它们与凝血及纤溶系统关系密切,具有一定的临床应用价值。本文主要介绍了几种空间结构已知的SVSP在结构上的特征,以及由此而产生的底物特异性及生化特性的差异,显示了天然SVSP中存在着与功能相关的结构变异多样性,这为进一步开发及医学利用SVSP提供了有益的信息。     

Guidelines for medical practice: 2. A possible strategy.

The recognition that much current medical practice is based on incomplete scientific evidence has led to calls for the generation of guidelines for optimal patterns of practice. These guidelines must be developed from a synthesis of existing scientific data ideally obtained from randomized clinical trials. However, at present we may have to rely on less satisfactory data and the views of experts in the field. The primary purpose of these initiatives must be to improve patient care. The Ontario Medical Association has made recommendations on how such guidelines should be produced, and in a recent survey a substantial majority of family physicians supported them. There is general agreement that the coordinating body should be independent of government and other interested parties. In addition, the medical profession must have the primary role, and a number of medical organizations should also be represented. We propose a possible structure for a group charged with developing guidelines for medical practice at a provincial level and on an experimental basis. Recommendations are made on its membership, function and relationship with other organizations. The identification and diffusion of justifiable, scientific practice patterns will help reduce waste of scarce resources, maintain the role of the profession as guardian of the quality of care and ultimately benefit the patient.     

Correcting for Population Structure and Kinship Using the Linear Mixed Model: Theory and Extensions

Population structure and kinship are widespread confounding factors in genome-wide association studies (GWAS). It has been standard practice to include principal components of the genotypes in a regression model in order to account for population structure. More recently, the linear mixed model (LMM) has emerged as a powerful method for simultaneously accounting for population structure and kinship. The statistical theory underlying the differences in empirical performance between modeling principal components as fixed versus random effects has not been thoroughly examined. We undertake an analysis to formalize the relationship between these widely used methods and elucidate the statistical properties of each. Moreover, we introduce a new statistic, effective degrees of freedom, that serves as a metric of model complexity and a novel low rank linear mixed model (LRLMM) to learn the dimensionality of the correction for population structure and kinship, and we assess its performance through simulations. A comparison of the results of LRLMM and a standard LMM analysis applied to GWAS data from the Multi-Ethnic Study of Atherosclerosis (MESA) illustrates how our theoretical results translate into empirical properties of the mixed model. Finally, the analysis demonstrates the ability of the LRLMM to substantially boost the strength of an association for HDL cholesterol in Europeans.     

肠杆菌科细菌对β-内酰胺类抗生素耐药机制的研究现状

肠杆菌科细菌是革兰阴性杆菌中最常见的一类细菌,在一定条件下可引起医院和社区感染。临床首选β-内酰胺类抗生素来抗感染,但由于抗生素的不合理使用导致肠杆菌科细菌产生相应的灭活酶及水解酶或菌株细胞结构改变,从而破坏β-内酰胺环使其对抗生素作用的敏感性下降甚至耐药,给临床抗感染治疗带来了极大的挑战;为更好地指导临床用药,拟就肠杆菌科细菌的耐药表型、对β-内酰胺类抗生素的耐药机制做一综述。