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Network protein function prediction

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https://www.readbyqxmd.com/read/28225828/systematic-analysis-of-non-structural-protein-features-for-the-prediction-of-ptm-function-potential-by-artificial-neural-networks
#1
Henry M Dewhurst, Matthew P Torres
Post-translational modifications (PTMs) provide an extensible framework for regulation of protein behavior beyond the diversity represented within the genome alone. While the rate of identification of PTMs has rapidly increased in recent years, our knowledge of PTM functionality encompasses less than 5% of this data. We previously developed SAPH-ire (Structural Analysis of PTM Hotspots) for the prioritization of eukaryotic PTMs based on function potential of discrete modified alignment positions (MAPs) in a set of 8 protein families...
2017: PloS One
https://www.readbyqxmd.com/read/28225203/identification-of-interacting-proteins-of-the-tafve-protein-involved-in-spike-development-in-bread-wheat
#2
Yong-Sheng Zheng, Yu-Qing Lu, Ying-Ying Meng, Rong-Zhi Zhang, Han Zhang, Jia-Mei Sun, Mu-Mu Wang, Li-Hui Li, Ru-Yu Li
FVE/MSI4 plays important roles in determining flowering time in Arabidopsis. However, its function is unexplored in wheat. In the present study, Co-IP and nano-LC-MS/MS were used to identify TaFVE-interacting or associated proteins. Altogether 89 differentially expressed proteins showed the same down-regulated expression trends as TaFVE in wheat line 5660M. Among them, 62 proteins were further predicted to be involved in the interaction network of TaFVE and 11 proteins have been shown to be potential TaFVE interactors based on curated databases and experimentally determined in other species by the STRING...
February 22, 2017: Proteomics
https://www.readbyqxmd.com/read/28220872/human-enterovirus-71-protein-interaction-network-prompts-antiviral-drug-repositioning
#3
Lu Han, Kang Li, Chaozhi Jin, Jian Wang, Qingjun Li, Qiling Zhang, Qiyue Cheng, Jing Yang, Xiaochen Bo, Shengqi Wang
As a predominant cause of human hand, foot, and mouth disease, enterovirus 71 (EV71) infection may lead to serious diseases and result in severe consequences that threaten public health and cause widespread panic. Although the systematic identification of physical interactions between viral proteins and host proteins provides initial information for the recognition of the cellular mechanism involved in viral infection and the development of new therapies, EV71-host protein interactions have not been explored...
February 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28219342/effects-of-exposure-to-streptococcus-iniae-on-microrna-expression-in-the-head-kidney-of-genetically-improved-farmed-tilapia-oreochromis-niloticus
#4
Jun Qiang, Fanyi Tao, Jie He, Lanyi Sun, Pao Xu, Wenjin Bao
BACKGROUND: Genetically improved farmed tilapia (GIFT, Oreochromis niloticus) are susceptible to infection by Streptococcus iniae when maintained in modern intensive culture systems. GIFT are commercially important fishes that are cultured widely in southern China. The role of microRNAs (miRNAs) in the regulatory response of GIFT to S. iniae infection has been underestimated and has not yet been well studied. Head kidney has an important immune function in teleost fishes. The main aim of this study was to determine the possible function of miRNAs in head kidney of S...
February 20, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28212602/happi-2-a-comprehensive-and-high-quality-map-of-human-annotated-and-predicted-protein-interactions
#5
Jake Y Chen, Ragini Pandey, Thanh M Nguyen
BACKGROUND: Human protein-protein interaction (PPI) data is essential to network and systems biology studies. PPI data can help biochemists hypothesize how proteins form complexes by binding to each other, how extracellular signals propagate through post-translational modification of de-activated signaling molecules, and how chemical reactions are coupled by enzymes involved in a complex biological process. Our capability to develop good public database resources for human PPI data has a direct impact on the quality of future research on genome biology and medicine...
February 17, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28209199/making-life-difficult-for-clostridium-difficile-augmenting-the-pathogen-s-metabolic-model-with-transcriptomic-and-codon-usage-data-for-better-therapeutic-target-characterization
#6
Sara Saheb Kashaf, Claudio Angione, Pietro Lió
BACKGROUND: Clostridium difficile is a bacterium which can infect various animal species, including humans. Infection with this bacterium is a leading healthcare-associated illness. A better understanding of this organism and the relationship between its genotype and phenotype is essential to the search for an effective treatment. Genome-scale metabolic models contain all known biochemical reactions of a microorganism and can be used to investigate this relationship. RESULTS: We present icdf834, an updated metabolic network of C...
February 16, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28193260/evaluating-the-effect-of-annotation-size-on-measures-of-semantic-similarity
#7
Maxat Kulmanov, Robert Hoehndorf
BACKGROUND: Ontologies are widely used as metadata in biological and biomedical datasets. Measures of semantic similarity utilize ontologies to determine how similar two entities annotated with classes from ontologies are, and semantic similarity is increasingly applied in applications ranging from diagnosis of disease to investigation in gene networks and functions of gene products. RESULTS: Here, we analyze a large number of semantic similarity measures and the sensitivity of similarity values to the number of annotations of entities, difference in annotation size and to the depth or specificity of annotation classes...
February 13, 2017: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/28191039/elevated-transcriptional-levels-of-aldolase-a-aldoa-associates-with-cell-cycle-related-genes-in-patients-with-nsclc-and-several-solid-tumors
#8
Fan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, Yi-Xuan Zhuang, Chao-Qun Hong, Guo-Jun Zhang, Xiao-Jiang Cui, Yu-Kun Cui
BACKGROUND: Aldolase A (ALDOA) is one of the glycolytic enzymes primarily found in the developing embryo and adult muscle. Recently, a new role of ALDOA in several cancers has been proposed. However, the underlying mechanism remains obscure and inconsistent. In this study, we tried to investigate ALDOA-associated (AA) genes using available microarray datasets to help elucidating the role of ALDOA in cancer. RESULTS: In the dataset of patients with non-small-cell lung cancer (NSCLC, E-GEOD-19188), 3448 differentially expressed genes (DEGs) including ALDOA were identified, in which 710 AA genes were found to be positively associated with ALDOA...
2017: BioData Mining
https://www.readbyqxmd.com/read/28185552/protein-complex-prediction-for-large-protein-protein-interaction-networks-with-the-core-peel-method
#9
Marco Pellegrini, Miriam Baglioni, Filippo Geraci
BACKGROUND: Biological networks play an increasingly important role in the exploration of functional modularity and cellular organization at a systemic level. Quite often the first tools used to analyze these networks are clustering algorithms. We concentrate here on the specific task of predicting protein complexes (PC) in large protein-protein interaction networks (PPIN). Currently, many state-of-the-art algorithms work well for networks of small or moderate size. However, their performance on much larger networks, which are becoming increasingly common in modern proteome-wise studies, needs to be re-assessed...
November 8, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28180060/gprc6a-jack-of-all-metabolism-or-master-of-none
#10
REVIEW
Min Pi, Satoru Kenneth Nishimoto, L Darryl Quarles
BACKGROUND: GPRC6A, a widely expressed G-protein coupled receptor, is proposed to be a master regulator of complex endocrine networks and metabolic processes. GPRC6A is activated by multiple ligands, including osteocalcin (Ocn), testosterone (T), basic amino acids, and various cations. SCOPE OF REVIEW: We review the controversy surrounding GPRC6A functions. In mice, GPRC6A is proposed to integrate metabolic functions through the coordinated secretion of hormones, including insulin, GLP-1, T, and IL-6, and direct effects of this receptor to control glucose and fat metabolism in the liver, skeletal muscle, and fat...
February 2017: Molecular Metabolism
https://www.readbyqxmd.com/read/28176846/prediction-of-biomarkers-of-oral-squamous-cell-carcinoma-using-microarray-technology
#11
Guang Li, Xian Li, Meng Yang, Lvzi Xu, Shixiong Deng, Longke Ran
Microarray data is used to screen the genes of oral squamous cell carcinoma (OSCC). Microarray data of OSCC and normal tissues were downloaded from GEO database and analyzed with Benjamini-Hochberg (BH) method. Differentially expressed genes (DEGs) were then uploaded on DAVID database to process enrichment analysis. Target genes were finally chosen for verification experiment in vitro and in vivo. 78 DEGs were selected from 54676 genes, including 46 up- and 32 down- regulation. GO term showed that these genes were related to epidermal growth (biological processes), extracellular region (cellular components) and cytokines activity (molecular function)...
February 8, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28174738/microgeographic-proteomic-networks-of-the-human-colonic-mucosa-and-their-association-with-inflammatory-bowel-disease
#12
Xiaoxiao Li, James LeBlanc, David Elashoff, Ian McHardy, Maomeng Tong, Bennett Roth, Andrew Ippoliti, Gildardo Barron, Dermot McGovern, Keely McDonald, Rodney Newberry, Thomas Graeber, Steve Horvath, Lee Goodglick, Jonathan Braun
BACKGROUND & AIMS: Interactions between mucosal cell types, environmental stressors, and intestinal microbiota contribute to pathogenesis in inflammatory bowel disease (IBD). Here, we applied metaproteomics of the mucosal-luminal interface to study the disease-related biology of the human colonic mucosa. METHODS: We recruited a discovery cohort of 51 IBD and non-IBD subjects endoscopically sampled by mucosal lavage at 6 colonic regions, and a validation cohort of 38 no-IBD subjects...
September 2016: Cellular and Molecular Gastroenterology and Hepatology
https://www.readbyqxmd.com/read/28165707/ion-effect-and-metal-coordinated-cross-linking-for-multiscale-design-of-nereis-jaw-inspired-mechanomutable-materials
#13
Chia-Ching Chou, Francisco J Martin-Martinez, Zhao Qin, Patrick B Dennis, Maneesh K Gupta, Rajesh R Naik, Markus J Buehler
The Nvjp-1 protein is a key component in the jaws of Nereis virens, a species of marine worm. It contains over 25 mol % of histidine, which is believed to play a key role in the metal-coordinated cross-linking responsible for the structural stability and exceptional mechanical performance of the worm jaw. Understanding the nanoscale mechanism behind this cross-linking and its pathway in affecting the macroscopic mechanical behavior of the material is crucial to develop bioinspired mechanomutable materials based on Nvjp-1...
February 15, 2017: ACS Nano
https://www.readbyqxmd.com/read/28159368/estimation-of-adsorption-isotherm-and-mass-transfer-parameters-in-protein-chromatography-using-artificial-neural-networks
#14
Gang Wang, Till Briskot, Tobias Hahn, Pascal Baumann, Jürgen Hubbuch
Mechanistic modeling has been repeatedly successfully applied in process development and control of protein chromatography. For each combination of adsorbate and adsorbent, the mechanistic models have to be calibrated. Some of the model parameters, such as system characteristics, can be determined reliably by applying well-established experimental methods, whereas others cannot be measured directly. In common practice of protein chromatography modeling, these parameters are identified by applying time-consuming methods such as frontal analysis combined with gradient experiments, curve-fitting, or combined Yamamoto approach...
March 3, 2017: Journal of Chromatography. A
https://www.readbyqxmd.com/read/28158179/trypsnetdb-an-integrated-framework-for-the-functional-characterization-of-trypanosomatid-proteins
#15
Vahid H Gazestani, Chun Wai Yip, Najmeh Nikpour, Natasha Berghuis, Reza Salavati
Trypanosomatid parasites cause serious infections in humans and production losses in livestock. Due to the high divergence from other eukaryotes, such as humans and model organisms, the functional roles of many trypanosomatid proteins cannot be predicted by homology-based methods, rendering a significant portion of their proteins as uncharacterized. Recent technological advances have led to the availability of multiple systematic and genome-wide datasets on trypanosomatid parasites that are informative regarding the biological role(s) of their proteins...
February 2017: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/28155715/screening-lifespan-extending-drugs-in-caenorhabditis-elegans-via-label-propagation-on-drug-protein-networks
#16
Hui Liu, Mengmeng Guo, Ting Xue, Jihong Guan, Libo Luo, Ziheng Zhuang
BACKGROUND: One of the most challenging tasks in the exploration of anti-aging is to discover drugs that can promote longevity and delay the incidence of age-associated diseases of human. Up to date, a number of drugs, including some antioxidants, metabolites and synthetic compounds, have been found to effectively delay the aging of nematodes and insects. RESULTS: We proposed a label propagation algorithm on drug-protein network to infer drugs that can extend the lifespan of C...
December 23, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28155651/incorporating-efficient-radial-basis-function-networks-and-significant-amino-acid-pairs-for-predicting-gtp-binding-sites-in-transport-proteins
#17
Nguyen-Quoc-Khanh Le, Yu-Yen Ou
BACKGROUND: Guanonine-protein (G-protein) is known as molecular switches inside cells, and is very important in signals transmission from outside to inside cell. Especially in transport protein, most of G-proteins play an important role in membrane trafficking; necessary for transferring proteins and other molecules to a variety of destinations outside and inside of the cell. The function of membrane trafficking is controlled by G-proteins via Guanosine triphosphate (GTP) binding sites...
December 22, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28152007/genome-composition-and-phylogeny-of-microbes-predict-their-co-occurrence-in-the-environment
#18
Olga K Kamneva
The genomic information of microbes is a major determinant of their phenotypic properties, yet it is largely unknown to what extent ecological associations between different species can be explained by their genome composition. To bridge this gap, this study introduces two new genome-wide pairwise measures of microbe-microbe interaction. The first (genome content similarity index) quantifies similarity in genome composition between two microbes, while the second (microbe-microbe functional association index) summarizes the topology of a protein functional association network built for a given pair of microbes and quantifies the fraction of network edges crossing organismal boundaries...
February 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28150250/annotation-of-alternatively-spliced-proteins-and-transcripts-with-protein-folding-algorithms-and-isoform-level-functional-networks
#19
Hongdong Li, Yang Zhang, Yuanfang Guan, Rajasree Menon, Gilbert S Omenn
Tens of thousands of splice isoforms of proteins have been catalogued as predicted sequences from transcripts in humans and other species. Relatively few have been characterized biochemically or structurally. With the extensive development of protein bioinformatics, the characterization and modeling of isoform features, isoform functions, and isoform-level networks have advanced notably. Here we present applications of the I-TASSER family of algorithms for folding and functional predictions and the IsoFunc, MIsoMine, and Hisonet data resources for isoform-level analyses of network and pathway-based functional predictions and protein-protein interactions...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28150241/functional-interaction-network-construction-and-analysis-for-disease-discovery
#20
Guanming Wu, Robin Haw
Network-based approaches project seemingly unrelated genes or proteins onto a large-scale network context, therefore providing a holistic visualization and analysis platform for genomic data generated from high-throughput experiments, reducing the dimensionality of data via using network modules and increasing the statistic analysis power. Based on the Reactome database, the most popular and comprehensive open-source biological pathway knowledgebase, we have developed a highly reliable protein functional interaction network covering around 60 % of total human genes and an app called ReactomeFIViz for Cytoscape, the most popular biological network visualization and analysis platform...
2017: Methods in Molecular Biology
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