A molecular model of the full-length human NOD-like receptor family CARD domain containing 5 (NLRC5) protein.

Abstract:

BACKGROUND:Pattern recognition receptors of the immune system have key roles in the regulation of pathways after the recognition of microbial- and danger-associated molecular patterns in vertebrates. Members of NOD-like receptor (NLR) family typically function intracellularly. The NOD-like receptor family CARD domain containing 5 (NLRC5) is the largest member of this family that also contains the largest number of leucine-rich repeats (LRRs).Due to the lack of crystal structures of full-length NLRs, projects have been initiated with the aim to model certain or all members of the family, but systematic studies did not model the full-length NLRC5 due to its unique domain architecture.Our aim was to analyze the LRR sequences of NLRC5 and some NLRC5-related proteins and to build a model for the full-length human NLRC5 by homology modeling. RESULTS:LRR sequences of NLRC5 were aligned and were compared with the consensus pattern of ribonuclease inhibitor protein (RI)-like LRR subfamily. Two types of alternating consensus patterns previously identified for RI repeats were also found in NLRC5. A homology model for full-length human NLRC5 was prepared and, besides the closed conformation of monomeric NLRC5, a heptameric platform was also modeled for the opened conformational NLRC5 monomers. CONCLUSIONS:Identification of consensus patterns of leucine-rich repeat sequences helped to identify LRRs in NLRC5 and to predict their number and position within the protein. In spite of the lack of fully adequate template structures, the presence of an untypical CARD domain and unusually high number of LRRs in NLRC5, we were able to construct a homology model for both the monomeric and homo-heptameric full-length human NLRC5 protein.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Mótyán JA,Bagossi P,Benkő S,Tőzsér J

doi

10.1186/1471-2105-14-275

subject

Has Abstract

pub_date

2013-09-17 00:00:00

pages

275

issn

1471-2105

pii

1471-2105-14-275

journal_volume

14

pub_type

杂志文章
  • Mining differential top-k co-expression patterns from time course comparative gene expression datasets.

    abstract:BACKGROUND:Frequent pattern mining analysis applied on microarray dataset appears to be a promising strategy for identifying relationships between gene expression levels. Unfortunately, too many itemsets (co-expressed genes) are identified by this analysis method since it does not consider the importance of each gene w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-230

    authors: Liu YC,Cheng CP,Tseng VS

    更新日期:2013-07-21 00:00:00

  • Integration of open access literature into the RCSB Protein Data Bank using BioLit.

    abstract:BACKGROUND:Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-220

    authors: Prlić A,Martinez MA,Dimitropoulos D,Beran B,Yukich BT,Rose PW,Bourne PE,Fink JL

    更新日期:2010-04-29 00:00:00

  • Measuring phenotype-phenotype similarity through the interactome.

    abstract:BACKGROUND:Recently, measuring phenotype similarity began to play an important role in disease diagnosis. Researchers have begun to pay attention to develop phenotype similarity measurement. However, existing methods ignore the interactions between phenotype-associated proteins, which may lead to inaccurate phenotype s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2102-9

    authors: Peng J,Hui W,Shang X

    更新日期:2018-04-11 00:00:00

  • Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations.

    abstract:BACKGROUND:The Bacteria Biotope (BB) task is a biomedical relation extraction (RE) that aims to study the interaction between bacteria and their locations. This task is considered to pertain to fundamental knowledge in applied microbiology. Some previous investigations conducted the study by applying feature-based mode...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3217-3

    authors: Jettakul A,Wichadakul D,Vateekul P

    更新日期:2019-12-03 00:00:00

  • COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project.

    abstract:BACKGROUND:With the ever increasing use of computational models in the biosciences, the need to share models and reproduce the results of published studies efficiently and easily is becoming more important. To this end, various standards have been proposed that can be used to describe models, simulations, data or other...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0369-z

    authors: Bergmann FT,Adams R,Moodie S,Cooper J,Glont M,Golebiewski M,Hucka M,Laibe C,Miller AK,Nickerson DP,Olivier BG,Rodriguez N,Sauro HM,Scharm M,Soiland-Reyes S,Waltemath D,Yvon F,Le Novère N

    更新日期:2014-12-14 00:00:00

  • 3DScapeCS: application of three dimensional, parallel, dynamic network visualization in Cytoscape.

    abstract:BACKGROUND:The exponential growth of gigantic biological data from various sources, such as protein-protein interaction (PPI), genome sequences scaffolding, Mass spectrometry (MS) molecular networking and metabolic flux, demands an efficient way for better visualization and interpretation beyond the conventional, two-d...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-322

    authors: Wang Q,Tang B,Song L,Ren B,Liang Q,Xie F,Zhuo Y,Liu X,Zhang L

    更新日期:2013-11-14 00:00:00

  • Missing genes in the annotation of prokaryotic genomes.

    abstract:BACKGROUND:Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports that prokaryotic gene finder programs have problems with small genes (either over-predicting or under-predicting). Therefore the question ari...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-131

    authors: Warren AS,Archuleta J,Feng WC,Setubal JC

    更新日期:2010-03-15 00:00:00

  • Automated peptide mapping and protein-topographical annotation of proteomics data.

    abstract:BACKGROUND:In quantitative proteomics, peptide mapping is a valuable approach to combine positional quantitative information with topographical and domain information of proteins. Quantitative proteomic analysis of cell surface shedding is an exemplary application area of this approach. RESULTS:We developed ImproViser...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-207

    authors: Videm P,Gunasekaran D,Schröder B,Mayer B,Biniossek ML,Schilling O

    更新日期:2014-06-19 00:00:00

  • Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer.

    abstract:BACKGROUND:One of the main goals in cancer studies including high-throughput microRNA (miRNA) and mRNA data is to find and assess prognostic signatures capable of predicting clinical outcome. Both mRNA and miRNA expression changes in cancer diseases are described to reflect clinical characteristics like staging and pro...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-488

    authors: Gade S,Porzelius C,Fälth M,Brase JC,Wuttig D,Kuner R,Binder H,Sültmann H,Beissbarth T

    更新日期:2011-12-21 00:00:00

  • Supervised segmentation of phenotype descriptions for the human skeletal phenome using hybrid methods.

    abstract:BACKGROUND:Over the course of the last few years there has been a significant amount of research performed on ontology-based formalization of phenotype descriptions. In order to fully capture the intrinsic value and knowledge expressed within them, we need to take advantage of their inner structure, which implicitly co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-265

    authors: Groza T,Hunter J,Zankl A

    更新日期:2012-10-15 00:00:00

  • Cascaded classifiers for confidence-based chemical named entity recognition.

    abstract:BACKGROUND:Chemical named entities represent an important facet of biomedical text. RESULTS:We have developed a system to use character-based n-grams, Maximum Entropy Markov Models and rescoring to recognise chemical names and other such entities, and to make confidence estimates for the extracted entities. An adjusta...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S11-S4

    authors: Corbett P,Copestake A

    更新日期:2008-11-19 00:00:00

  • CONFOLD2: improved contact-driven ab initio protein structure modeling.

    abstract:BACKGROUND:Contact-guided protein structure prediction methods are becoming more and more successful because of the latest advances in residue-residue contact prediction. To support contact-driven structure prediction, effective tools that can quickly build tertiary structural models of good quality from predicted cont...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2032-6

    authors: Adhikari B,Cheng J

    更新日期:2018-01-25 00:00:00

  • MPAgenomics: an R package for multi-patient analysis of genomic markers.

    abstract:BACKGROUND:Last generations of Single Nucleotide Polymorphism (SNP) arrays allow to study copy-number variations in addition to genotyping measures. RESULTS:MPAgenomics, standing for multi-patient analysis (MPA) of genomic markers, is an R-package devoted to: (i) efficient segmentation and (ii) selection of genomic ma...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0394-y

    authors: Grimonprez Q,Celisse A,Blanck S,Cheok M,Figeac M,Marot G

    更新日期:2014-12-14 00:00:00

  • Three-dimensional modeling of chromatin structure from interaction frequency data using Markov chain Monte Carlo sampling.

    abstract:BACKGROUND:Long-range interactions between regulatory DNA elements such as enhancers, insulators and promoters play an important role in regulating transcription. As chromatin contacts have been found throughout the human genome and in different cell types, spatial transcriptional control is now viewed as a general mec...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-414

    authors: Rousseau M,Fraser J,Ferraiuolo MA,Dostie J,Blanchette M

    更新日期:2011-10-25 00:00:00

  • Functional relevance of dynamic properties of Dimeric NADP-dependent Isocitrate Dehydrogenases.

    abstract:BACKGROUND:Isocitrate Dehydrogenases (IDHs) are important enzymes present in all living cells. Three subfamilies of functionally dimeric IDHs (subfamilies I, II, III) are known. Subfamily I are well-studied bacterial IDHs, like that of Escherischia coli. Subfamily II has predominantly eukaryotic members, but it also ha...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S17-S2

    authors: Vinekar R,Verma C,Ghosh I

    更新日期:2012-01-01 00:00:00

  • Structural alignment of protein descriptors - a combinatorial model.

    abstract:BACKGROUND:Structural alignment of proteins is one of the most challenging problems in molecular biology. The tertiary structure of a protein strictly correlates with its function and computationally predicted structures are nowadays a main premise for understanding the latter. However, computationally derived 3D model...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1237-9

    authors: Antczak M,Kasprzak M,Lukasiak P,Blazewicz J

    更新日期:2016-09-17 00:00:00

  • Statistical assessment and visualization of synergies for large-scale sparse drug combination datasets.

    abstract:BACKGROUND:Drug combinations have the potential to improve efficacy while limiting toxicity. To robustly identify synergistic combinations, high-throughput screens using full dose-response surface are desirable but require an impractical number of data points. Screening of a sparse number of doses per drug allows to sc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2642-7

    authors: Amzallag A,Ramaswamy S,Benes CH

    更新日期:2019-02-18 00:00:00

  • Prediction of bioluminescent proteins by using sequence-derived features and lineage-specific scheme.

    abstract:BACKGROUND:Bioluminescent proteins (BLPs) widely exist in many living organisms. As BLPs are featured by the capability of emitting lights, they can be served as biomarkers and easily detected in biomedical research, such as gene expression analysis and signal transduction pathways. Therefore, accurate identification o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1709-6

    authors: Zhang J,Chai H,Yang G,Ma Z

    更新日期:2017-06-05 00:00:00

  • Inferring topology from clustering coefficients in protein-protein interaction networks.

    abstract:BACKGROUND:Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete interactome. These partial networks often show a scale-free behavior with only a few proteins having many and the majority having only a few conne...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-519

    authors: Friedel CC,Zimmer R

    更新日期:2006-11-30 00:00:00

  • Shared data science infrastructure for genomics data.

    abstract:BACKGROUND:Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boag is needed to efficiently process and parse data co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2967-2

    authors: Bagheri H,Muppirala U,Masonbrink RE,Severin AJ,Rajan H

    更新日期:2019-08-22 00:00:00

  • SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes.

    abstract:BACKGROUND:Genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) have been successful in identifying loci contributing genetic effects to a wide range of complex human diseases and quantitative traits. The traditional approach to GWAS analysis is to consider each phenotype separately, despite...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1437-3

    authors: Mägi R,Suleimanov YV,Clarke GM,Kaakinen M,Fischer K,Prokopenko I,Morris AP

    更新日期:2017-01-11 00:00:00

  • Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods.

    abstract:BACKGROUND:Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evaluated using a set of eight publicly available gene expression databases f...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2953-8

    authors: Verda D,Parodi S,Ferrari E,Muselli M

    更新日期:2019-11-22 00:00:00

  • Algebraic Dynamic Programming over general data structures.

    abstract:BACKGROUND:Dynamic programming algorithms provide exact solutions to many problems in computational biology, such as sequence alignment, RNA folding, hidden Markov models (HMMs), and scoring of phylogenetic trees. Structurally analogous algorithms compute optimal solutions, evaluate score distributions, and perform sto...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-16-S19-S2

    authors: zu Siederdissen CH,Prohaska SJ,Stadler PF

    更新日期:2015-01-01 00:00:00

  • Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) are central to many biological processes. Considering that the experimental methods for identifying PPIs are time-consuming and expensive, it is important to develop automated computational methods to better predict PPIs. Various machine learning methods have been proposed...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03646-8

    authors: Yang F,Fan K,Song D,Lin H

    更新日期:2020-07-21 00:00:00

  • MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis.

    abstract:BACKGROUND:miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insig...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3105-x

    authors: Licursi V,Conte F,Fiscon G,Paci P

    更新日期:2019-11-04 00:00:00

  • Detecting broad domains and narrow peaks in ChIP-seq data with hiddenDomains.

    abstract:BACKGROUND:Correctly identifying genomic regions enriched with histone modifications and transcription factors is key to understanding their regulatory and developmental roles. Conceptually, these regions are divided into two categories, narrow peaks and broad domains, and different algorithms are used to identify each...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-0991-z

    authors: Starmer J,Magnuson T

    更新日期:2016-03-24 00:00:00

  • GLIDERS--a web-based search engine for genome-wide linkage disequilibrium between HapMap SNPs.

    abstract:BACKGROUND:A number of tools for the examination of linkage disequilibrium (LD) patterns between nearby alleles exist, but none are available for quickly and easily investigating LD at longer ranges (>500 kb). We have developed a web-based query tool (GLIDERS: Genome-wide LInkage DisEquilibrium Repository and Search en...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-367

    authors: Lawrence R,Day-Williams AG,Mott R,Broxholme J,Cardon LR,Zeggini E

    更新日期:2009-10-31 00:00:00

  • A weighted string kernel for protein fold recognition.

    abstract:BACKGROUND:Alignment-free methods for comparing protein sequences have proved to be viable alternatives to approaches that first rely on an alignment of the sequences to be compared. Much work however need to be done before those methods provide reliable fold recognition for proteins whose sequences share little simila...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1795-5

    authors: Nojoomi S,Koehl P

    更新日期:2017-08-25 00:00:00

  • A novel statistical approach for identification of the master regulator transcription factor.

    abstract:BACKGROUND:Transcription factors are known to play key roles in carcinogenesis and therefore, are gaining popularity as potential therapeutic targets in drug development. A 'master regulator' transcription factor often appears to control most of the regulatory activities of the other transcription factors and the assoc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1499-x

    authors: Sikdar S,Datta S

    更新日期:2017-02-02 00:00:00

  • Efficient error correction for next-generation sequencing of viral amplicons.

    abstract:BACKGROUND:Next-generation sequencing allows the analysis of an unprecedented number of viral sequence variants from infected patients, presenting a novel opportunity for understanding virus evolution, drug resistance and immune escape. However, sequencing in bulk is error prone. Thus, the generated data require error ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S10-S6

    authors: Skums P,Dimitrova Z,Campo DS,Vaughan G,Rossi L,Forbi JC,Yokosawa J,Zelikovsky A,Khudyakov Y

    更新日期:2012-06-25 00:00:00