Efficient identification of near‐native conformations in ab initio protein structure prediction using structural profiles

One of the major bottlenecks in many ab initio protein structure prediction methods is currently the selection of a small number of candidate structures for high‐resolution refinement from large sets of low‐resolution decoys. This step often includes a scoring by low‐resolution energy functions and a clustering of conformations by their pairwise root mean square deviations (RMSDs). As an efficient selection is crucial to reduce the overall computational cost of the predictions, any improvement in this direction can increase the overall performance of the predictions and the range of protein structures that can be predicted. We show here that the use of structural profiles, which can be predicted with good accuracy from the amino acid sequences of proteins, provides an efficient means to identify good candidate structures. Proteins 2010. © 2009 Wiley‐Liss, Inc.     

Ontogenetic shifts in functional morphology of dragonfly legs (Odonata: Anisoptera)

Anisopteran leg functions change dramatically from the final larval stadium to the adult. Larvae use legs mainly for locomotion, walking, climbing, clinging, or burrowing. Adults use them for foraging and grasping mates, for perching, clinging to the vegetation, and for repelling rivals. In order to estimate the ontogenetic shift in the leg construction from the larva to the adult, this study quantitatively compared lengths of fore, mid, and hind legs and the relationships between three leg segments, femur, tibia, and tarsus, in larval and adult Anisoptera of the families Gomphidae, Aeshnidae, Cordulegastridae, Corduliidae, and Libellulidae, represented by two species each. We found that leg segment length ratio as well as ontogenetic shift in length ratios was different between families, but rather similar within the families. While little ontogenetic shift occurred in Aeshnidae, there were some modifications in Corduliidae and Libellulidae. The severest shift occurred in Gomphidae and Cordulegastridae, both having burrowing larvae. These two families form a cluster, which is in contrast to their taxonomic relationship within the Anisoptera. Cluster analysis implies that the function of larval legs is primarily responsible for grouping, whereas adult behavior or the taxonomic relationships do not explain the grouping. This result supports the previous hypothesis about the convergent functional shift of leg characters in the dragonfly ontogenesis.     

Mutations of the ER to plastid lipid transporters TGD1, 2, 3 and 4 and the ER oleate desaturase FAD2 suppress the low temperature‐induced phenotype of Arabidopsis tocopherol‐deficient mutant vte2

Previous studies with the tocopherol‐deficient Arabidopsis thaliana vte2 mutant demonstrated an important role for tocopherols in the development of transfer cell walls and maintenance of photoassimilate export capacity during low‐temperature (LT) adaptation. To further understand the processes linking tocopherol deficiency and the vte2 LT phenotypes, a genetic screen was performed for sve mutations (suppressor of the vte2 low temperature‐induced phenotype). The three strongest sve loci had differing impacts on LT‐induced sugar accumulation, photoassimilate export reduction and vascular‐specific callose deposition in vte2. sve1 completely suppressed all vte2 LT phenotypes and is a new allele of fad2, the endoplasmic reticulum‐localized oleate desaturase. sve2 showed partial suppression, and is a new allele of trigalactosyldiacylglycerol1 (tgd1), a component of the ER‐to‐plastid lipid ATP‐binding cassette (ABC) transporter. Introduction of tgd2, tgd3 and tgd4 mutations into the vte2 background similarly suppressed the vte2 LT phenotypes, indicating a key role for ER‐to‐plastid lipid transport in the vte2 LT phenotype. sve7 partially suppressed all vte2 LT phenotypes by affecting fatty acid and lipid metabolism at low temperatures only. Detailed analyses of acyl lipid composition indicated that all suppressors alleviated the increase in the level of linoleic acid esterified to phosphatidylcholine (PC‐18:2) in LT‐treated vte2, and this alleviation significantly correlated with their extent of suppression of photoassimilate export. Identification and characterization of the sve loci showed that the PC‐18:2 change is an early and key component in vte2 LT‐induced responses, and highlighted the interaction of tocopherols with non‐plastid lipid metabolism.     

GO‐At : in silico prediction of gene function in Arabidopsis thaliana by combining heterogeneous data

Despite recent advances, accurate gene function prediction remains an elusive goal, with very few methods directly applicable to the plant Arabidopsis thaliana. In this study, we present GO‐At (gene ontology prediction in A. thaliana), a method that combines five data types (co‐expression, sequence, phylogenetic profile, interaction and gene neighbourhood) to predict gene function in Arabidopsis. Using a simple, yet powerful two‐step approach, GO‐At first generates a list of genes ranked in descending order of probability of functional association with the query gene. Next, a prediction score is automatically assigned to each function in this list based on the assumption that functions appearing most frequently at the top of the list are most likely to represent the function of the query gene. In this way, the second step provides an effective alternative to simply taking the ‘best hit’ from the first list, and achieves success rates of up to 79%. GO‐At is applicable across all three GO categories: molecular function, biological process and cellular component, and can assign functions at multiple levels of annotation detail. Furthermore, we demonstrate GO‐At’s ability to predict functions of uncharacterized genes by identifying ten putative golgins/Golgi‐associated proteins amongst 8219 genes of previously unknown cellular component and present independent evidence to support our predictions. A web‐based implementation of GO‐At ( http://www.bioinformatics.leeds.ac.uk/goat ) is available, providing a unique resource for plant researchers to make predictions for uncharacterized genes and predict novel functions in Arabidopsis.     

Photo-induced unfolding and inactivation of bovine carbonic anhydrase in the presence of a photoresponsive surfactant

Photoreversible changes in the conformation and enzymatic activity of bovine carbonic anhydrase have been investigated as a function of photoresponsive surfactant concentration and light conditions. The light-responsive surfactant undergoes a photoisomerization from the relatively hydrophobic trans isomer under visible light to the relatively hydrophilic cis isomer upon UV illumination, providing a means to photoreversibly control enzyme–surfactant interactions. Small-angle neutron scattering and dynamic light scattering measurements, along with fluorescence spectroscopy, indicate that carbonic anhydrase unfolds upon addition of the surfactant under visible light, while only a small degree of unfolding is observed under UV light. Therefore, the enzyme is completely inactivated in the presence of the trans surfactant, while 40% of the native activity is preserved under UV light, providing a photoreversible “on/off switch” of enzyme activity. Small-angle neutron scattering data provide details of the in vitro conformational changes of the enzyme in response to the photosurfactant and light, with the enzyme found to aggregate as a result of photosurfactant-induced unfolding. Fourier transform infrared (FT-IR) spectroscopy further provides information on the secondary structure changes of the protein in the presence of photosurfactant.     

神经网络提高肝细胞癌磁共振波谱诊断正确率

通过评价31磷磁共振波谱(31Phosphorus Magnetic Resonance Spectroscopy,31P-MRS)来辨别三种诊断类型:肝细胞癌,正常肝和肝硬化。运用反向传输神经网络(BP)和径向基函数神经网络(RBF)分析31P-MRS数据,分别建立神经网络模型,进行肝细胞癌的诊断分类以期提高识别率。实验结果证明,应用神经网络模型后,31P-MR波谱对活体肝细胞癌的诊断正确率从89.47%提高到97.3%,且BP更优于RBF。     

基于多分类支持向量机的基因表达系列分析

基因表达系列分析(Serial analysis of gene expression,SAGE)是一种基因表达数据,反映了细胞内的动态变化。模式识别和可视化方法是分析SAGE数据的基本工具,但是由于缺乏描述数据的统计特性,传统的聚类分析技术不适用于SAGE数据的分析。本文提出了一种基于多分类和支持向量机的SAGE数据的分析法。经过对模拟数据和人类癌症SAGE数据的分析,基于径向基核函数的多分类支持向量机算法"一对一"(one-against-one,OAO)算法提供了比PoissonC和PoissonS更好的分类结果。     

Mandibular molar root morphology in Neanderthals and Late Pleistocene and recent Homo sapiens

Neanderthals have a distinctive suite of dental features, including large anterior crown and root dimensions and molars with enlarged pulp cavities. Yet, there is little known about variation in molar root morphology in Neanderthals and other recent and fossil members of Homo. Here, we provide the first comprehensive metric analysis of permanent mandibular molar root morphology in Middle and Late Pleistocene Homo neanderthalensis, and Late Pleistocene (Aterian) and recent Homo sapiens. We specifically address the question of whether root form can be used to distinguish between these groups and assess whether any variation in root form can be related to differences in tooth function. We apply a microtomographic imaging approach to visualise and quantify the external and internal dental morphologies of both isolated molars and molars embedded in the mandible (n = 127). Univariate and multivariate analyses reveal both similarities (root length and pulp volume) and differences (occurrence of pyramidal roots and dental tissue volume proportion) in molar root morphology among penecontemporaneous Neanderthals and Aterian H. sapiens. In contrast, the molars of recent H. sapiens are markedly smaller than both Pleistocene H. sapiens and Neanderthals, but share with the former the dentine volume reduction and a smaller root-to-crown volume compared with Neanderthals. Furthermore, we found the first molar to have the largest average root surface area in recent H. sapiens and Neanderthals, although in the latter the difference between M₁ and M₂ is small. In contrast, Aterian H. sapiens root surface areas peak at M₂. Since root surface area is linked to masticatory function, this suggests a distinct occlusal loading regime in Neanderthals compared with both recent and Pleistocene H. sapiens.