Application of text-mining for updating protein post-translational modification annotation in UniProtKB.

Abstract:

BACKGROUND:The annotation of protein post-translational modifications (PTMs) is an important task of UniProtKB curators and, with continuing improvements in experimental methodology, an ever greater number of articles are being published on this topic. To help curators cope with this growing body of information we have developed a system which extracts information from the scientific literature for the most frequently annotated PTMs in UniProtKB. RESULTS:The procedure uses a pattern-matching and rule-based approach to extract sentences with information on the type and site of modification. A ranked list of protein candidates for the modification is also provided. For PTM extraction, precision varies from 57% to 94%, and recall from 75% to 95%, according to the type of modification. The procedure was used to track new publications on PTMs and to recover potential supporting evidence for phosphorylation sites annotated based on the results of large scale proteomics experiments. CONCLUSIONS:The information retrieval and extraction method we have developed in this study forms the basis of a simple tool for the manual curation of protein post-translational modifications in UniProtKB/Swiss-Prot. Our work demonstrates that even simple text-mining tools can be effectively adapted for database curation tasks, providing that a thorough understanding of the working process and requirements are first obtained. This system can be accessed at http://eagl.unige.ch/PTM/.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Veuthey AL,Bridge A,Gobeill J,Ruch P,McEntyre JR,Bougueleret L,Xenarios I

doi

10.1186/1471-2105-14-104

subject

Has Abstract

pub_date

2013-03-22 00:00:00

pages

104

issn

1471-2105

pii

1471-2105-14-104

journal_volume

14

pub_type

杂志文章
  • TMB-Hunt: an amino acid composition based method to screen proteomes for beta-barrel transmembrane proteins.

    abstract:BACKGROUND:Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative and acid fast gram positive), mitochondria and chloroplasts. Despite recent publications describing reasonable levels of accuracy for discrimin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-56

    authors: Garrow AG,Agnew A,Westhead DR

    更新日期:2005-03-15 00:00:00

  • RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network.

    abstract:BACKGROUND:The misregulation of microRNA (miRNA) has been shown to cause diseases. Recently, we have proposed a computational method based on a random walk framework on a miRNA-target gene network to predict disease-associated miRNAs. The prediction performance of our method is better than that of some existing state-o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03578-3

    authors: Le DH,Tran TTH

    更新日期:2020-06-15 00:00:00

  • A database of phylogenetically atypical genes in archaeal and bacterial genomes, identified using the DarkHorse algorithm.

    abstract:BACKGROUND:The process of horizontal gene transfer (HGT) is believed to be widespread in Bacteria and Archaea, but little comparative data is available addressing its occurrence in complete microbial genomes. Collection of high-quality, automated HGT prediction data based on phylogenetic evidence has previously been im...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-419

    authors: Podell S,Gaasterland T,Allen EE

    更新日期:2008-10-07 00:00:00

  • Visualising very large phylogenetic trees in three dimensional hyperbolic space.

    abstract:BACKGROUND:Common existing phylogenetic tree visualisation tools are not able to display readable trees with more than a few thousand nodes. These existing methodologies are based in two dimensional space. RESULTS:We introduce the idea of visualising phylogenetic trees in three dimensional hyperbolic space with the Wa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-48

    authors: Hughes T,Hyun Y,Liberles DA

    更新日期:2004-04-29 00:00:00

  • Linear predictive coding representation of correlated mutation for protein sequence alignment.

    abstract:BACKGROUND:Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of alignment methods use sequence profiles that only represent conservation. There is no general way to represent correlated mutation and incorporat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S2-S2

    authors: Jeong CS,Kim D

    更新日期:2010-04-16 00:00:00

  • Providing visualisation support for the analysis of anatomy ontology data.

    abstract:BACKGROUND:Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledge stored within the data is to be retrieved. Storing data in ontologies aids its management; ontologies serve as controlled vocabularies that ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-74

    authors: Dadzie AS,Burger A

    更新日期:2005-03-24 00:00:00

  • Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM.

    abstract:BACKGROUND:Identification of the recombination hot/cold spots is critical for understanding the mechanism of recombination as well as the genome evolution process. However, experimental identification of recombination spots is both time-consuming and costly. Developing an accurate and automated method for reliably and ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-340

    authors: Li L,Yu S,Xiao W,Li Y,Huang L,Zheng X,Zhou S,Yang H

    更新日期:2014-11-20 00:00:00

  • Selection of optimal reference genes for normalization in quantitative RT-PCR.

    abstract:BACKGROUND:Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this inna...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-253

    authors: Chervoneva I,Li Y,Schulz S,Croker S,Wilson C,Waldman SA,Hyslop T

    更新日期:2010-05-14 00:00:00

  • An ensemble framework for identifying essential proteins.

    abstract:BACKGROUND:Many centrality measures have been proposed to mine and characterize the correlations between network topological properties and protein essentiality. However, most of them show limited prediction accuracy, and the number of common predicted essential proteins by different methods is very small. RESULTS:In ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1166-7

    authors: Zhang X,Xiao W,Acencio ML,Lemke N,Wang X

    更新日期:2016-08-25 00:00:00

  • Modeling genomic data with type attributes, balancing stability and maintainability.

    abstract:BACKGROUND:Molecular biology (MB) is a dynamic research domain that benefits greatly from the use of modern software technology in preparing experiments, analyzing acquired data, and even performing "in-silico" analyses. As ever new findings change the face of this domain, software for MB has to be sufficiently flexibl...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-97

    authors: Busch N,Wedemann G

    更新日期:2009-03-27 00:00:00

  • A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs.

    abstract:BACKGROUND:Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) are closely associated with human diseases, and it is useful for the diagnosis and treatment of diseases to get the relationships between lncRNAs and diseases. Due to the high costs and time complexity of traditional bio-experiments, ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03906-7

    authors: Xiao Y,Xiao Z,Feng X,Chen Z,Kuang L,Wang L

    更新日期:2020-12-02 00:00:00

  • A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE).

    abstract:BACKGROUND:An organism's protein interactome, or complete network of protein-protein interactions, defines the protein complexes that drive cellular processes. Techniques for studying protein complexes have traditionally applied targeted strategies such as yeast two-hybrid or affinity purification-mass spectrometry to ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1865-8

    authors: Stacey RG,Skinnider MA,Scott NE,Foster LJ

    更新日期:2017-10-23 00:00:00

  • The ontology of biological sequences.

    abstract:BACKGROUND:Biological sequences play a major role in molecular and computational biology. They are studied as information-bearing entities that make up DNA, RNA or proteins. The Sequence Ontology, which is part of the OBO Foundry, contains descriptions and definitions of sequences and their properties. Yet the most bas...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-377

    authors: Hoehndorf R,Kelso J,Herre H

    更新日期:2009-11-18 00:00:00

  • Integrating gene expression and GO classification for PCA by preclustering.

    abstract:BACKGROUND:Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per group can then be used to identify interesting GO categories in relation to the experimental settings. However, the expression profiles present...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-158

    authors: De Haan JR,Piek E,van Schaik RC,de Vlieg J,Bauerschmidt S,Buydens LM,Wehrens R

    更新日期:2010-03-26 00:00:00

  • Extended analysis of benchmark datasets for Agilent two-color microarrays.

    abstract:BACKGROUND:As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on five microarray platforms. For most platforms, several different methods of data processing were considered. However, there was no similar consid...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-371

    authors: Kerr KF

    更新日期:2007-10-03 00:00:00

  • Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes.

    abstract:BACKGROUND:A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For this purpose genome-wide identification of bimodally expressed genes from gene array data is relevant because distinguishability of high and lo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-276

    authors: Hellwig B,Hengstler JG,Schmidt M,Gehrmann MC,Schormann W,Rahnenführer J

    更新日期:2010-05-25 00:00:00

  • An algorithm for automated closure during assembly.

    abstract:BACKGROUND:Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can involve targeted sequencing. Finishing reads may be incorporated by manual or automated means. One automated method uses targeted addition by local...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-457

    authors: Koren S,Miller JR,Walenz BP,Sutton G

    更新日期:2010-09-10 00:00:00

  • EVEREST: automatic identification and classification of protein domains in all protein sequences.

    abstract:BACKGROUND:Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Whereas sequencing technologies have advanced immensely in recent years, there are no matching computational methodologies for large-scale determina...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-277

    authors: Portugaly E,Harel A,Linial N,Linial M

    更新日期:2006-06-02 00:00:00

  • Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.

    abstract:BACKGROUND:This paper addresses the prediction of the free energy of binding of a drug candidate with enzyme InhA associated with Mycobacterium tuberculosis. This problem is found within rational drug design, where interactions between drug candidates and target proteins are verified through molecular docking simulatio...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-310

    authors: Barros RC,Winck AT,Machado KS,Basgalupp MP,de Carvalho AC,Ruiz DD,de Souza ON

    更新日期:2012-11-21 00:00:00

  • CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data.

    abstract:BACKGROUND:Time-lapse analysis of cellular images is an important and growing need in biology. Algorithms for cell tracking are widely available; what researchers have been missing is a single open-source software package to visualize standard tracking output (from software like CellProfiler) in a way that allows conve...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0759-x

    authors: Bray MA,Carpenter AE

    更新日期:2015-11-04 00:00:00

  • Identification of common coexpression modules based on quantitative network comparison.

    abstract:BACKGROUND:Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may r...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2193-3

    authors: Jo Y,Kim S,Lee D

    更新日期:2018-06-13 00:00:00

  • Gene ontology based transfer learning for protein subcellular localization.

    abstract:BACKGROUND:Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sources for exploiting m...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-44

    authors: Mei S,Fei W,Zhou S

    更新日期:2011-02-02 00:00:00

  • Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets.

    abstract:BACKGROUND:Large-scale genomic studies based on transcriptome technologies provide clusters of genes that need to be functionally annotated. The Gene Ontology (GO) implements a controlled vocabulary organised into three hierarchies: cellular components, molecular functions and biological processes. This terminology all...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-241

    authors: Aubry M,Monnier A,Chicault C,de Tayrac M,Galibert MD,Burgun A,Mosser J

    更新日期:2006-05-04 00:00:00

  • Systematic integration of experimental data and models in systems biology.

    abstract:BACKGROUND:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-582

    authors: Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

    更新日期:2010-11-29 00:00:00

  • Improving performance of mammalian microRNA target prediction.

    abstract:BACKGROUND:MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA levels. Computational prediction of miRNA targets is essential for elucidating the detailed functions of miRNA. However, the prediction speci...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-476

    authors: Liu H,Yue D,Chen Y,Gao SJ,Huang Y

    更新日期:2010-09-22 00:00:00

  • An automatic device for detection and classification of malaria parasite species in thick blood film.

    abstract:BACKGROUND:Current malaria diagnosis relies primarily on microscopic examination of Giemsa-stained thick and thin blood films. This method requires vigorously trained technicians to efficiently detect and classify the malaria parasite species such as Plasmodium falciparum (Pf) and Plasmodium vivax (Pv) for an appropria...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S17-S18

    authors: Kaewkamnerd S,Uthaipibull C,Intarapanich A,Pannarut M,Chaotheing S,Tongsima S

    更新日期:2012-01-01 00:00:00

  • VKCDB: voltage-gated potassium channel database.

    abstract:BACKGROUND:The family of voltage-gated potassium channels comprises a functionally diverse group of membrane proteins. They help maintain and regulate the potassium ion-based component of the membrane potential and are thus central to many critical physiological processes. VKCDB (Voltage-gated potassium [K] Channel Dat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1186/1471-2105-5-3

    authors: Li B,Gallin WJ

    更新日期:2004-01-09 00:00:00

  • Recursive model for dose-time responses in pharmacological studies.

    abstract:BACKGROUND:Clinical studies often track dose-response curves of subjects over time. One can easily model the dose-response curve at each time point with Hill equation, but such a model fails to capture the temporal evolution of the curves. On the other hand, one can use Gompertz equation to model the temporal behaviors...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2831-4

    authors: Dhruba SR,Rahman A,Rahman R,Ghosh S,Pal R

    更新日期:2019-06-20 00:00:00

  • Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis.

    abstract:BACKGROUND:In mass spectrometry (MS) based proteomic data analysis, peak detection is an essential step for subsequent analysis. Recently, there has been significant progress in the development of various peak detection algorithms. However, neither a comprehensive survey nor an experimental comparison of these algorith...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-4

    authors: Yang C,He Z,Yu W

    更新日期:2009-01-06 00:00:00

  • Fast and robust group-wise eQTL mapping using sparse graphical models.

    abstract:BACKGROUND:Genome-wide expression quantitative trait loci (eQTL) studies have emerged as a powerful tool to understand the genetic basis of gene expression and complex traits. The traditional eQTL methods focus on testing the associations between individual single-nucleotide polymorphisms (SNPs) and gene expression tra...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0421-z

    authors: Cheng W,Shi Y,Zhang X,Wang W

    更新日期:2015-01-16 00:00:00