H Dong / J He (@5.5) vs Z Kulambayeva / Y Ma (@1.12)

Our Prediction:

Z Kulambayeva / Y Ma will win
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H Dong / J He – Z Kulambayeva / Y Ma Match Prediction | 10-09-2019 02:30

2017; Ding et al. From the medical point of view, however, rather than thinking what and how much can be measured on a large scale, one should also consider what is the source of information that is most useful for the particular prediction task. For systematic mapping of compound-target interactions, instead of generating more and more compound-target bioactivity data, a more effective approach might be to train machine learning models based on the existing data and then use these models to predict what parts of the massive compound-target universe one should experimentally explore in order to get most benefit from the expensive laboratory experiments (Azencott et al. 2018). We argue that such data-driven predictive approach will be more cost-effective, compared to the exhaustive approach of sequencing everything, which has been the dominating approach so far in many international efforts. Collection and integration of the already available data are by no means straightforward, requiring both infrastructure developments and common standards for integrating and sharing data from various experimental assays and laboratories. However, such community-based approach will likely provide not only a cost-effective but also a faster track to new biomedical discoveries, as it can also collect large-enough patient cohorts for single cancer types, hence avoiding the need for pan-cancer approaches that may miss important cancer-specific findings. For clinical translation, feature selection remains a critical part of precision oncology as large-scale profiling of each cancer patient is not likely to be possible within the coming years, rather the treatment selection will be based on targeted assays of most predictive markers for a given cancer type. The same approach should be useful also for drug response prediction task, where we already have large-scale data in cancer cell lines, and hopefully soon also in patient samples, to start making more comprehensive machine learning exercises to prioritize the next phases of experimentation.

In Indonesia, multiple introduction events of the viruses from avian hosts to pigs have also been described [94]. However, HPAI H5N1 has been isolated from pigs from China [91-93] and Indonesia [94]. Genetic analysis showed that the RNA segments of the swine isolates all came from avian isolates. A Bayesian phylogenetic analysis of a Chinese swine isolate revealed that it was a multiple reassortant, with its gene segments coming from avian H5N1, H9N2 and influenza viruses of other unknown subtype [92].

The majority of transport between the vascular system and the brain occurs in brain microvessels, as these comprise approximately 95% of the area between the brain and the vascular system [27]. (Fig.1a). These components physically and biochemically interact in order to maintain barrier function. While BMECs are the cells directly responsible for restricting and regulating transport, the surrounding layer of basement membrane embedded with pericytes provides structural support and depots for molecular signals that regulate EC function. As a result of the coordinated interactions between BMECs, pericytes, astrocytes, neurons, and CNS immune cells, this group is often collectively referred to as the neurovascular unit (NVU). The BBB includes BMECs, basement membrane, pericytes, and astrocyte end-feet. The microvessels are surrounded by protrusions from astrocytes that terminate in end-feet, which play important roles in maintaining homeostasis [28] and regulating blood flow to regions of high neuronal activity [29].


Inter-subtype reassortment also plays an important role in the evolution and variation of HPAI H5N1 and has been frequently detected. Phylogenetic analysis revealed that they were created by inter-subtype reassortment between genotype A and AI viruses of other subtype. Phylogenetic analysis of the eight separate segments has identified many H5N1 genotypes since 1996, such as A, B, C, D, E [7], V, W, X0-X3, Y, Z, Z+ [8], G [9]. It was reported that the internal genes of the HPAI H5N1 viruses in Hong Kong in 1997 were obtained from viruses of H9N2 subtype via inter-subtype reassortment [15]. The NP gene of genotype E virus came from viruses of an unknown subtype [7, 8]. Reassortment between genotype E and other aquatic AI viruses created genotypes X0-X3, whose PB2, PA and NS genes were not of H5N1 subtype [8]. Genotypes V, W, Y, Z and Z+ were also inter-subtype reassortants with some of the internal genes coming from aquatic AI viruses of other subtypes [8]. For example, viruses isolated from tree sparrows from Henan Province, China in 2004 belonged to a novel genotype [109]. In addition, there are some genotypes that have been reported but not nominated. Viruses of genotype D obtained their NP gene from Dk/HK/Y280/97-like virus (H9N2 subtype) [7, 8]. Among them, the prototype HPAI H5N1 virus, Gs/GD/1/96 [1], reassorted with viruses of one or more unknown subtypes gave rise to genotypes A, B and C in 2000 [7, 8].

Platforms for configuring BBB cells are subject to many technical design considerations. In the context of recapitulating the complete BBB, an ideal platform would supply physiological levels of shear stress as well as facilitate the correct spatial organization of NVU components, allowing them to form realistic cell-cell junctions and basement membrane. While the transwell assay remains the most widely used platform, a number of models have sought to satisfy these other criteria. In vitro platforms have been classified and compared in Table2.

If a single host is infected by two different subtypes of AI virus, it is possible that newly assembled viral particles will be created from segments whose origin is mixed, some coming from one subtype and some coming from another. This genetic reassortment plays a vital role in the origin of newly emerging pathogens of humans and animals as evidenced by the recent emergence of the swine-origin influenza A (H1N1) 2009 virus [6]. Previous studies have identified many genetic reassortment events in the HPAI H5N1 viruses [7-9]. Phylogenetic analysis of viral sequences is a standard way to study the genetic reassortment by comparing different phylogenetic trees constructed using all eight genomic segments.

The importance of Wnt/ -catenin signaling was further demonstrated by -catenin-deficient mouse embryos that exhibited widespread vascular defects in the CNS while peripheral vessel formation was unaffected [36]. Recent studies have identified several pathways believed to be critical to BBB induction and maintenance, including hedgehog (Hh) [6] and canonical Wnt signaling [34, 35]. The unique properties of BMECs are induced by the surrounding neuroectodermal environment during development, although the exact mechanisms responsible remain poorly understood [33]. Initial evidence from quail-chick chimera transplantation studies showed that non-CNS tissue grafted to the brain could develop BBB characteristics, while CNS-tissue grafted to non-CNS regions could not [33].

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Each target (protein) had hundreds of decoys. The best decoy in each target had a GDT score greater than 0.4, which ensured that the pool contained reasonably good decoys. We applied this method to three benchmark datasets from different model prediction methods. The third dataset contained 50 CASP 9 targets with decoys generated by our in-house template-based model generation tool MUFOLD. The second dataset consisted of 35 CASP 8 [20] targets predicted by Rosetta or Robetta. Figures 2, ,3,3, and and44 show the GDT distribution information, i.e., maximum, average and minimum GDT of each dataset respectively. The first dataset contained 56 targets with decoys generated by I-TASSER ab initio modeling method (http://zhanglab.ccmb.med.umich.edu/decoys/) [7].

The majority of the surface area and thus transport within the BBB occurs in capillaries, which exhibit an average diameter of around 8m in humans [3]. These capillaries are perfusable to fluorescent beads and maintain barrier function when perfused with fluorescent dextran [121]. Yet the smallest microvessels fabricated through any of these techniques is approximately 2050m, due to the difficulties in achieving sufficiently high EC seed density in small channels without clogging [118, 122]. Non-brain capillary formation has recently been observed between adjacent microvessels in vitro. A difficult challenge facing in vitro BBB platforms is the fabrication of perfusable, capillary-dimension vascular networks. The prevalent approaches to overcome this issue are to stimulate capillary angiogenesis from larger microvessels, or to stimulate vasculogenesis of ECs embedded in a matrix.

The functions of various BM proteins have been informed in part by studies on knockout mice. This demonstrates the ability of BM compositional changes to serve as an intermediary in BBB cell-cell signaling and regulation. Interestingly, this effect was reported to act through the regulation of pericyte differentiation [66], in agreement with an earlier in vitro study which suggested that -SMA- and -SMA+ pericytes raise and lower TEER, respectively [55]. Recent knockout studies revealed that astrocyte-derived laminin-211 is critical for maintaining BBB integrity [66, 67].

In this paper, special emphasis is given to the transmission and circulation of H5N1 among wild life populations, and to the reassortment events that are associated with inter-host transmission of the H5N1 viruses when they infect different hosts, such as birds, pigs and humans. Finally, we highlight the usefulness of genomic sequences in molecular epidemiological analysis of HPAI H5N1 and the technical limitations in existing analytical methods that hinder them from playing a greater role in virological research. Phylogenetic analysis of whole genome or sub-genomic sequences is a standard means for delineating genetic variation, novel reassortment events, and surveillance to trace the global transmission pathways. The outbreak of highly pathogenic avian influenza (HPAI) H5N1 disease has led to significant loss of poultry and wild life and case fatality rates in humans of 60%. Wild birds are natural hosts for all avian influenza virus subtypes and over120 bird species have been reported with evidence of H5N1 infection. Influenza A viruses possess a segmented RNA genome and are characterized by frequently occurring genetic reassortment events, which play a very important role in virus evolution and the spread of novel gene constellations in immunologically nave human and animal populations. In addition, we review the inter-subtype reassortment of the viral segments encoding inner proteins between the H5N1 viruses and viruses of other subtypes, such as H9N2 and H6N1.


(2007) suggested that human movement of domestic poultry was the main agent of global dispersal of the virus into Africa and Europe [21]. In addition, the introduction of the HPAI H5N1 viruses into Nigeria was also found to be associated with the legal and/or illegal poultry trade [25]. Phylogenetic studies also supported that clade 2.3.2 viruses established in Vietnam and southern China in 2004 and advanced northwards along poultry trading routes [24]. Several mechanisms have been proposed to explain the rapid spread of HPAI H5N1 viruses in Eurasia and Africa, two of which are the poultry transmission model [21] and the bird migration model [22, 23]. Gautheir-Clerc et al.

One of the remaining issues is how to select good models that are close to the native structure. Although a lot of work has been done, it still remains as one of the bottlenecks in practical predictions and has large room to improve. Quality assessment (QA) for protein structure models is therefore highly important. Most recent protein structure prediction methods such as Rosetta [5], I-TASSER [6], [7], [8] and MUFOLD [9] adopt a sampling procedure in which quite a number of candidate models (decoys) are generated.