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https://www.readbyqxmd.com/read/28432981/hidden-markov-model-and-chapman-kolmogrov-for-protein-structures-prediction-from-images
#1
Md Sarwar Kamal, Linkon Chowdhury, Mohammad Ibrahim Khan, Amira S Ashour, João Manuel R S Tavares, Nilanjan Dey
Protein structure prediction and analysis are more significant for living organs to perfect asses the living organ functionalities. Several protein structure prediction methods use neural network (NN). However, the Hidden Markov model is more interpretable and effective for more biological data analysis compared to the NN. It employs statistical data analysis to enhance the prediction accuracy. The current work proposed a protein prediction approach from protein images based on Hidden Markov Model and Chapman Kolmogrov equation...
April 13, 2017: Computational Biology and Chemistry
https://www.readbyqxmd.com/read/28432773/transition-of-the-functional-brain-network-related-to-increasing-cognitive-demands
#2
Karolina Finc, Kamil Bonna, Monika Lewandowska, Tomasz Wolak, Jan Nikadon, Joanna Dreszer, Włodzisław Duch, Simone Kühn
Network neuroscience provides tools that can easily be used to verify main assumptions of the global workspace theory (GWT), such as the existence of highly segregated information processing during effortless tasks performance, engagement of multiple distributed networks during effortful tasks and the critical role of long-range connections in workspace formation. A number of studies support the assumptions of GWT by showing the reorganization of the whole-brain functional network during cognitive task performance; however, the involvement of specific large scale networks in the formation of workspace is still not well-understood...
April 22, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28432214/a-microrna-mrna-expression-network-during-oral-siphon-regeneration-in-ciona
#3
Elijah J Spina, Elmer Guzman, Hongjun Zhou, Kenneth S Kosik, William C Smith
Here we present a parallel study of mRNA and microRNA expression during oral siphon (OS) regeneration in Ciona robusta, and the derived network of their interactions. In the process of identifying 248 mRNAs and 15 microRNAs as differentially expressed (DE), we also identified 57 novel microRNAs, several of which are among the most highly DE. Analysis of functional categories identified enriched transcripts related to stress responses and apoptosis at the wound healing stage, signaling pathways including Wnt and TGF-β during early regrowth, and negative regulation of extracellular proteases in late stage regeneration...
April 21, 2017: Development
https://www.readbyqxmd.com/read/28431521/a-reference-floral-transcriptome-of-sexual-and-apomictic-paspalum-notatum
#4
Juan Pablo A Ortiz, Santiago Revale, Lorena A Siena, Maricel Podio, Luciana Delgado, Juliana Stein, Olivier Leblanc, Silvina C Pessino
BACKGROUND: Paspalum notatum Flügge is a subtropical grass native to South America, which includes sexual diploid and apomictic polyploid biotypes. In the past decade, a number of apomixis-associated genes were discovered in this species through genetic mapping and differential expression surveys. However, the scarce information on Paspalum sequences available in public databanks limited annotations and functional predictions for these candidates. RESULTS: We used a long-read 454/Roche FLX+ sequencing strategy to produce robust reference transcriptome datasets from florets of sexual and apomictic Paspalum notatum genotypes and delivered a list of transcripts showing differential representation in both reproductive types...
April 21, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28431495/iron-regulated-small-rna-expression-as-neisseria-gonorrhoeae-fa-1090-transitions-into-stationary-phase-growth
#5
Lydgia A Jackson, Michael Day, Jennie Allen, Edgar Scott, David W Dyer
BACKGROUND: For most pathogens, iron (Fe) homeostasis is crucial for maintenance within the host and the ability to cause disease. The primary transcriptional regulator that controls intracellular Fe levels is the Fur (ferric uptake regulator) protein, which exerts its action on transcription by binding to a promoter-proximal sequence termed the Fur box. Fur-regulated transcriptional responses are often fine-tuned at the post-transcriptional level through the action of small regulatory RNAs (sRNAs)...
April 21, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28430949/capturing-non-local-interactions-by-long-short-term-memory-bidirectional-recurrent-neural-networks-for-improving-prediction-of-protein-secondary-structure-backbone-angles-contact-numbers-and-solvent-accessibility
#6
Rhys Heffernan, Yuedong Yang, Kuldip Paliwal, Yaoqi Zhou
Motivation: The accuracy of predicting protein local and global structural properties such as secondary structure and solvent accessible surface area has been stagnant for many years because of the challenge of accounting for non-local interactions between amino acid residues that are close in three-dimensional structural space but far from each other in their sequence positions. All existing machine-learning techniques relied on a sliding window of 10-20 amino acid residues to capture some "short to intermediate" non-local interactions...
April 18, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28430854/dynamic-modeling-and-network-approaches-for-omics-time-course-data-overview-of-computational-approaches-and-applications
#7
Yulan Liang, Arpad Kelemen
Inferring networks and dynamics of genes, proteins, cells and other biological entities from high-throughput biological omics data is a central and challenging issue in computational and systems biology. This is essential for understanding the complexity of human health, disease susceptibility and pathogenesis for Predictive, Preventive, Personalized and Participatory (P4) system and precision medicine. The delineation of the possible interactions of all genes/proteins in a genome/proteome is a task for which conventional experimental techniques are ill suited...
April 18, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28430779/a-coevolution-analysis-for-identifying-protein-protein-interactions-by-fourier-transform
#8
Changchuan Yin, Stephen S-T Yau
Protein-protein interactions (PPIs) play key roles in life processes, such as signal transduction, transcription regulations, and immune response, etc. Identification of PPIs enables better understanding of the functional networks within a cell. Common experimental methods for identifying PPIs are time consuming and expensive. However, recent developments in computational approaches for inferring PPIs from protein sequences based on coevolution theory avoid these problems. In the coevolution theory model, interacted proteins may show coevolutionary mutations and have similar phylogenetic trees...
2017: PloS One
https://www.readbyqxmd.com/read/28428208/resting-state-seed-based-analysis-an-alternative-to-task-based-language-fmri-and-its-laterality-index
#9
K A Smitha, K M Arun, P G Rajesh, B Thomas, C Kesavadas
BACKGROUND AND PURPOSE: Language is a cardinal function that makes human unique. Preservation of language function poses a great challenge for surgeons during resection. The aim of the study was to assess the efficacy of resting-state fMRI in the lateralization of language function in healthy subjects to permit its further testing in patients who are unable to perform task-based fMRI. MATERIALS AND METHODS: Eighteen healthy right-handed volunteers were prospectively evaluated with resting-state fMRI and task-based fMRI to assess language networks...
April 20, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28427684/rapid-and-high-capacity-ultrasonic-assisted-adsorption-of-ternary-toxic-anionic-dyes-onto-mof-5-activated-carbon-artificial-neural-networks-partial-least-squares-desirability-function-and-isotherm-and-kinetic-study
#10
Hanieh Askari, Mehrorang Ghaedi, Kheibar Dashtian, Mohammad Hossein Ahmadi Azghandi
The present paper focused on the ultrasonic assisted simultaneous removal of fast green (FG), eosin Y (EY) and quinine yellow (QY) from aqueous media following using MOF-5 as a metal organic framework and activated carbon hybrid (AC-MOF-5). The structure and morphology of AC-MOF-5 was identified by SEM, FTIR and XRD analysis. The interactive and main effects of variables such as pH, initial dyes concentration (mgL(-1)), adsorbent dosage (mg) and sonication time (min) on removal percentage were studied by central composite design (CCD), subsequent desirability function (DF) permit to achieved real variable experimental condition...
July 2017: Ultrasonics Sonochemistry
https://www.readbyqxmd.com/read/28427349/genome-wide-survey-of-mirnas-and-their-evolutionary-history-in-the-ascidian-halocynthia-roretzi
#11
Kai Wang, Christelle Dantec, Patrick Lemaire, Takeshi A Onuma, Hiroki Nishida
BACKGROUND: miRNAs play essential roles in the modulation of cellular functions via degradation and/or translation attenuation of target mRNAs. They have been surveyed in a single ascidian genus, Ciona. Recently, an annotated draft genome sequence for a distantly related ascidian, Halocynthia roretzi, has become available, but miRNAs in H. roretzi have not been previously studied. RESULTS: We report the prediction of 319 candidate H. roretzi miRNAs, obtained through three complementary methods...
April 20, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28427329/cross-disorder-comparative-analysis-of-comorbid-conditions-reveals-novel-autism-candidate-genes
#12
Leticia Diaz-Beltran, Francisco J Esteban, Maya Varma, Alp Ortuzk, Maude David, Dennis P Wall
BACKGROUND: Numerous studies have highlighted the elevated degree of comorbidity associated with autism spectrum disorder (ASD). These comorbid conditions may add further impairments to individuals with autism and are substantially more prevalent compared to neurotypical populations. These high rates of comorbidity are not surprising taking into account the overlap of symptoms that ASD shares with other pathologies. From a research perspective, this suggests common molecular mechanisms involved in these conditions...
April 20, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28427189/identifying-biomarkers-of-papillary-renal-cell-carcinoma-associated-with-pathological-stage-by-weighted-gene-co-expression-network-analysis
#13
Zhongshi He, Min Sun, Yuan Ke, Rongjie Lin, Youde Xiao, Shuliang Zhou, Hong Zhao, Yan Wang, Fuxiang Zhou, Yunfeng Zhou
Although papillary renal cell carcinoma (PRCC) accounts for 10%-15% of renal cell carcinoma (RCC), no predictive molecular biomarker is currently applicable to guiding disease stage of PRCC patients. The mRNASeq data of PRCC and adjacent normal tissue in The Cancer Genome Atlas was analyzed to identify 1148 differentially expressed genes, on which weighted gene co-expression network analysis was performed. Then 11 co-expressed gene modules were identified. The highest association was found between blue module and pathological stage (r = 0...
March 2, 2017: Oncotarget
https://www.readbyqxmd.com/read/28426969/chemogenetic-interrogation-of-a-brain-wide-fear-memory-network-in-mice
#14
Gisella Vetere, Justin W Kenney, Lina M Tran, Frances Xia, Patrick E Steadman, John Parkinson, Sheena A Josselyn, Paul W Frankland
Behavior depends on coordinated activity across multiple brain regions. Within such networks, highly connected hub regions are assumed to disproportionately influence behavioral output, although this hypothesis has not been systematically evaluated. Previously, by mapping brain-wide expression of the activity-regulated gene c-fos, we identified a network of brain regions co-activated by fear memory. To test the hypothesis that hub regions are more important for network function, here, we simulated node deletion in silico in this behaviorally defined functional network...
April 19, 2017: Neuron
https://www.readbyqxmd.com/read/28426955/the-small-world-of-a-fear-memory
#15
Nicholas I Woods, Mazen A Kheirbek
How are fear memories organized? In this issue of Neuron, Vetere et al. (2017) take a network-based approach to demonstrate the importance of highly interconnected hub regions in the consolidation of a fear memory. By doing so, they provide an elegant framework for predicting behavior from functional network properties.
April 19, 2017: Neuron
https://www.readbyqxmd.com/read/28425500/structure-shapes-dynamics-and-directionality-in-diverse-brain-networks-mathematical-principles-and-empirical-confirmation-in-three-species
#16
Joon-Young Moon, Junhyeok Kim, Tae-Wook Ko, Minkyung Kim, Yasser Iturria-Medina, Jee-Hyun Choi, Joseph Lee, George A Mashour, UnCheol Lee
Identifying how spatially distributed information becomes integrated in the brain is essential to understanding higher cognitive functions. Previous computational and empirical studies suggest a significant influence of brain network structure on brain network function. However, there have been few analytical approaches to explain the role of network structure in shaping regional activities and directionality patterns. In this study, analytical methods are applied to a coupled oscillator model implemented in inhomogeneous networks...
April 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28424669/inferring-microbial-interactions-in-the-gut-of-the-hong-kong-whipping-frog-polypedates-megacephalus-and-a-validation-using-probiotics
#17
Francis Cheng-Hsuan Weng, Grace Tzun-Wen Shaw, Chieh-Yin Weng, Yi-Ju Yang, Daryi Wang
The concerted activity of intestinal microbes is crucial to the health and development of their host organisms. Investigation of microbial interactions in the gut should deepen our understanding of how these micro-ecosystems function. Due to advances in Next Generation Sequencing (NGS) technologies, various bioinformatic strategies have been proposed to investigate these microbial interactions. However, due to the complexity of the intestinal microbial community and difficulties in monitoring their interactions, at present there is a gap between the theory and biological application...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28423512/kinase-analysis-of-penile-squamous-cell-carcinoma-on-multiple-platforms-to-identify-potential-therapeutic-targets
#18
Eddy S Yang, Christopher D Willey, Amitkumar Mehta, Michael R Crowley, David K Crossman, Dongquan Chen, Joshua C Anderson, Gurudatta Naik, Deborah L Della Manna, Tiffiny S Cooper, Guru Sonpavde
Penile squamous cell carcinoma (PSCC) is an orphan malignancy with poorly understood biology and suboptimal systemic therapy. Given that kinases may be drivers and readily actionable, we performed comprehensive multiplatform analysis of kinases in PSCC tumor and normal tissue. Fresh frozen tumors were collected from 11 patients with PSCC. After macrodissection to demarcate tumor from normal tissue, the samples underwent multiplatform analysis of kinases. Next Generation Sequencing (NGS) of 517 kinase genes was performed using Agilent Kinome capture and run on the Illumina MiSeq at PE150bp...
March 28, 2017: Oncotarget
https://www.readbyqxmd.com/read/28422668/sensitivity-analysis-for-probabilistic-neural-network-structure-reduction
#19
Piotr A Kowalski, Maciej Kusy
In this paper, we propose the use of local sensitivity analysis (LSA) for the structure simplification of the probabilistic neural network (PNN). Three algorithms are introduced. The first algorithm applies LSA to the PNN input layer reduction by selecting significant features of input patterns. The second algorithm utilizes LSA to remove redundant pattern neurons of the network. The third algorithm combines the proposed two and constitutes the solution of how they can work together. PNN with a product kernel estimator is used, where each multiplicand computes a one-dimensional Cauchy function...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28422138/abnormal-resting-state-functional-connectivity-in-the-orbitofrontal-cortex-of-heroin-users-and-its-relationship-with-anxiety-a-pilot-fnirs-study
#20
Hada Fong-Ha Ieong, Zhen Yuan
Drug addiction is widely linked to the orbitofrontal cortex (OFC), which is essential for regulating reward-related behaviors, emotional responses, and anxiety. Over the past two decades, neuroimaging has provided significant contributions revealing functional and structural alternations in the brains of drug addicts. However, the underlying neural mechanism in the OFC and its correlates with drug addiction and anxiety still require further elucidation. We first presented a pilot investigation to examine local networks in OFC regions through resting-state functional connectivity (rsFC) using functional near-infrared spectroscopy (fNIRS) from eight abstinent addicts in a heroin-dependent group (HD) and seven subjects in a control group (CG)...
April 19, 2017: Scientific Reports
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