Fast and accurate modeling of protein-protein interactions by combining template-interface-based docking with flexible refinement

The similarity between folding and binding led us to posit the concept that the number of protein-protein interface motifs in nature is limited, and interacting protein pairs can use similar interface architectures repeatedly, even if their global folds completely vary. Thus, known protein-protein interface architectures can be used to model the complexes between two target proteins on the proteome scale, even if their global structures differ. This powerful concept is combined with a flexible refinement and global energy assessment tool. The accuracy of the method is highly dependent on the structural diversity of the interface architectures in the template dataset. Here, we validate this knowledge-based combinatorial method on the Docking Benchmark and show that it efficiently finds high-quality models for benchmark complexes and their binding regions even in the absence of template interfaces having sequence similarity to the targets. Compared to "classical" docking, it is computationally faster; as the number of target proteins increases, the difference becomes more dramatic. Further, it is able to distinguish binders from nonbinders. These features allow performing large-scale network modeling. The results on an independent target set (proteins in the p53 molecular interaction map) show that current method can be used to predict whether a given protein pair interacts. Overall, while constrained by the diversity of the template set, this approach efficiently produces high-quality models of protein-protein complexes. We expect that with the growing number of known interface architectures, this type of knowledge-based methods will be increasingly used by the broad proteomics community.     

我国云南食用牛肝菌的DNA条形码研究

iFlora是结合传统分类学与DNA测序和信息技术,通过系列关键技术进行集成,构建便捷、准确识别物种和掌握相关数字化信息的新一代智能植物志。iFlora研发中首要和迫切的任务之一就是寻找适合于大多数植物和经济蘑菇的标准DNA条形码序列。为筛选适合大型经济蘑菇的DNA条形码,本研究以云南食用牛肝菌为例,选取野生食用菌市场上常见的、被当地人认为的4“种”牛肝菌为研究对象,利用核糖体大亚基（nrLSU）、翻译延长因子1-α（tefl-α）、RNA聚合酶II大亚基（rpbl）和RNA聚合酶II的第二个大亚基（rpb2）四个DNA序列,使用真核生物通用引物进行扩增、测序和测试。研究发现这4“种”样品实际上代表了12个独立的物种,进一步研究表明4个候选片段的扩增和测序成功率均为100％,且不存在种问和种内变异的重叠。4个片段的物种分辨率均较高,但与nrLSU相比,rpbl、tefl-α和rpb2具有更为明显的条形码间隔。鉴于rpbl比tefl-α和rpb2具有更高的种间变异和较低的种内变异,建议将rpbl作为牛肝菌属的核心条形码,tefl-α和rpb2可作为该属的辅助条形码。     

A remarkable new genus of leafhoppers (Hemiptera,Cicadellidae, Iassinae) from Southeast Asia

Tardrabassus pakneunensis, n. gen. & sp. is described and illustrated. The new genus shows morphological affinities to three leafhopper subfamilies, Tartessinae, Deltocephalinae, and Iassinae, but is tentatively placed in Iassinae based on the position of the ocelli, the reduced lateral frontal sutures, the leg chaetotaxy, and the structure of the male genitalia.     

Downscaling Aggregate Urban Metabolism Accounts to Local Districts

Urban metabolism accounts of total annual energy, water, and other resource flows are increasingly available for a variety of world cities. For local decision makers, however, it may be important to understand the variations of resource consumption within the city. Given the difficulty of gathering suburban resource consumption data for many cities, this article investigates the potential of statistical downscaling methods to estimate local resource consumption using socioeconomic or other data sources. We evaluate six classes of downscaling methods: ratio‐based normalization; linear regression (both internally and externally calibrated); linear regression with spatial autocorrelation; multilevel linear regression; and a basic Bayesian analysis. The methods were applied to domestic energy consumption in London, UK, and our results show that it is possible to downscale aggregate resource consumption to smaller geographies with an average absolute prediction error of around 20%; however, performance varies widely by method, geography size, and fuel type. We also show how mapping these results can quickly identify districts with noteworthy resource consumption profiles. Further work should explore the design of local data collection strategies to enhance these methods and apply the techniques to other urban resources such as water or waste.     

花弄蝶亚科——中国新纪录属和新纪录种(鳞翅目,弄蝶科)(英文)

记述花弄蝶亚科Pyrginac一中国新纪录属、种,即卡弄蝶属Carcharodus、花卡弄蝶C.flocciferus(Zeller,1847),提供了成虫外形照片及雄性外生殖器图,并作了描述.     

Genetic structure of Glycine canescens,a perennial relative of soybean

Summary Allozyme variation as detected by starch gel electrophoresis was used to assess the extent and spatial organization of genetic variation across the entire range of Glycine canescens sensu lato. Eleven enzyme systems were assayed in 116 accessions of this taxon and 102 alleles were detected at a total of 31 loci. Eighty-one percent of loci were polymorphic. Most of this variation occurred between and very little within accessions. Three major groupings were detected. These groupings (groups 1, 2, and 3) also differed with respect to mean seed size and their geographic distribution. A further ten accessions stood out from these distinct groups. These accessions were most closely related to group 3 but were variable among themselves. In general, they were collected from highly dissected terrain, often in the remote interior of the continent. A final group of 18 problematic accessions (group X), originally tentatively identified as G. canescens on morphological grounds, was shown to be isozymically distinct from this species and was reclassified as one form of the polytypic species G. clandestina.     

Nonparametric Analysis of Thermal Proteome Profiles Reveals Novel Drug-binding Proteins*

1. Download : Download high-res image (51KB)
2. Download : Download full-size image

Highlights

• •Method for the analysis of response curves from thermal proteome profiling (TPP).
• •NPARC uses nonparametric statistics and provides false discovery-rate (FDR) control.
• •Increased proteome coverage and sensitivity to identify drug-binding proteins.