TGF-beta signaling proteins and the Protein Ontology.

Abstract:

BACKGROUND:The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein forms of a gene, including those resulting from alternative splicing, cleavage and/or post-translational modifications. Focusing specifically on the TGF-beta signaling proteins, we describe the building, curation, usage and dissemination of PRO. RESULTS:PRO is manually curated on the basis of PrePRO, an automatically generated file with content derived from standard protein data sources. Manual curation ensures that the treatment of the protein classes and the internal and external relationships conform to the PRO framework. The current release of PRO is based upon experimental data from mouse and human proteins wherein equivalent protein forms are represented by single terms. In addition to the PRO ontology, the annotation of PRO terms is released as a separate PRO association file, which contains, for each given PRO term, an annotation from the experimentally characterized sub-types as well as the corresponding database identifiers and sequence coordinates. The annotations are added in the form of relationship to other ontologies. Whenever possible, equivalent forms in other species are listed to facilitate cross-species comparison. Splice and allelic variants, gene fusion products and modified protein forms are all represented as entities in the ontology. Therefore, PRO provides for the representation of protein entities and a resource for describing the associated data. This makes PRO useful both for proteomics studies where isoforms and modified forms must be differentiated, and for studies of biological pathways, where representations need to take account of the different ways in which the cascade of events may depend on specific protein modifications. CONCLUSION:PRO provides a framework for the formal representation of protein classes and protein forms in the OBO Foundry. It is designed to enable data retrieval and integration and machine reasoning at the molecular level of proteins, thereby facilitating cross-species comparisons, pathway analysis, disease modeling and the generation of new hypotheses.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Arighi CN,Liu H,Natale DA,Barker WC,Drabkin H,Blake JA,Smith B,Wu CH

doi

10.1186/1471-2105-10-S5-S3

subject

Has Abstract

pub_date

2009-05-06 00:00:00

pages

S3

issn

1471-2105

pii

1471-2105-10-S5-S3

journal_volume

10 Suppl 5

pub_type

杂志文章
  • Projections for fast protein structure retrieval.

    abstract:BACKGROUND:In recent times, there has been an exponential rise in the number of protein structures in databases e.g. PDB. So, design of fast algorithms capable of querying such databases is becoming an increasingly important research issue. This paper reports an algorithm, motivated from spectral graph matching techniq...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-S5-S5

    authors: Bhattacharya S,Bhattacharyya C,Chandra NR

    更新日期:2006-12-18 00:00:00

  • mRNA:guanine-N7 cap methyltransferases: identification of novel members of the family, evolutionary analysis, homology modeling, and analysis of sequence-structure-function relationships.

    abstract:BACKGROUND:The 5'-terminal cap structure plays an important role in many aspects of mRNA metabolism. Capping enzymes encoded by viruses and pathogenic fungi are attractive targets for specific inhibitors. There is a large body of experimental data on viral and cellular methyltransferases (MTases) that carry out guanine...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-2-2

    authors: Bujnicki JM,Feder M,Radlinska M,Rychlewski L

    更新日期:2001-01-01 00:00:00

  • Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms.

    abstract:BACKGROUND:Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic sc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S4-S14

    authors: Falda M,Toppo S,Pescarolo A,Lavezzo E,Di Camillo B,Facchinetti A,Cilia E,Velasco R,Fontana P

    更新日期:2012-03-28 00:00:00

  • Can Zipf's law be adapted to normalize microarrays?

    abstract:BACKGROUND:Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed genes exhibit a power-law distribution with an exponent close to -1 (i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-37

    authors: Lu T,Costello CM,Croucher PJ,Häsler R,Deuschl G,Schreiber S

    更新日期:2005-02-23 00:00:00

  • Integrating diverse biological and computational sources for reliable protein-protein interactions.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) play important roles in various cellular processes. However, the low quality of current PPI data detected from high-throughput screening techniques has diminished the potential usefulness of the data. We need to develop a method to address the high data noise and incomplet...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S7-S8

    authors: Wu M,Li X,Chua HN,Kwoh CK,Ng SK

    更新日期:2010-10-15 00:00:00

  • Assessing stationary distributions derived from chromatin contact maps.

    abstract:BACKGROUND:The spatial configuration of chromosomes is essential to various cellular processes, notably gene regulation, while architecture related alterations, such as translocations and gene fusions, are often cancer drivers. Thus, eliciting chromatin conformation is important, yet challenging due to compaction, dyna...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3424-y

    authors: Segal MR,Fletez-Brant K

    更新日期:2020-02-24 00:00:00

  • Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens.

    abstract:BACKGROUND:The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the interpretation of cellular phenotypes in different experimental conditions has been dependent upon the expert opinions of well-trained biologist...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-264

    authors: Yin Z,Zhou X,Bakal C,Li F,Sun Y,Perrimon N,Wong ST

    更新日期:2008-06-05 00:00:00

  • In silico docking of urokinase plasminogen activator and integrins.

    abstract:BACKGROUND:Urokinase, its receptor and the integrins are functionally associated and involved in regulation of cell signaling, migration, adhesion and proliferation. No structural information is available on this potential multimolecular complex. However, the tri-dimensional structure of urokinase, urokinase receptor a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S2-S8

    authors: Degryse B,Fernandez-Recio J,Citro V,Blasi F,Cubellis MV

    更新日期:2008-03-26 00:00:00

  • Integrated olfactory receptor and microarray gene expression databases.

    abstract:BACKGROUND:Gene expression patterns of olfactory receptors (ORs) are an important component of the signal encoding mechanism in the olfactory system since they determine the interactions between odorant ligands and sensory neurons. We have developed the Olfactory Receptor Microarray Database (ORMD) to house OR gene exp...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-231

    authors: Liu N,Crasto CJ,Ma M

    更新日期:2007-06-30 00:00:00

  • Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data.

    abstract:BACKGROUND:A fundamental fact in biology states that genes do not operate in isolation, and yet, methods that infer regulatory networks for single cell gene expression data have been slow to emerge. With single cell sequencing methods now becoming accessible, general network inference algorithms that were initially dev...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2217-z

    authors: Chen S,Mar JC

    更新日期:2018-06-19 00:00:00

  • Partition-based optimization model for generative anatomy modeling language (POM-GAML).

    abstract:BACKGROUND:This paper presents a novel approach for Generative Anatomy Modeling Language (GAML). This approach automatically detects the geometric partitions in 3D anatomy that in turn speeds up integrated non-linear optimization model in GAML for 3D anatomy modeling with constraints (e.g. joints). This integrated non-...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2626-7

    authors: Demirel D,Cetinsaya B,Halic T,Kockara S,Ahmadi S

    更新日期:2019-03-14 00:00:00

  • Robust detection of periodic time series measured from biological systems.

    abstract:BACKGROUND:Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectral content of a given time series. The exact noise characteristics are unknown in many bioinformatics applications. Furthermore, the observed ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-117

    authors: Ahdesmäki M,Lähdesmäki H,Pearson R,Huttunen H,Yli-Harja O

    更新日期:2005-05-13 00:00:00

  • Big data analysis for evaluating bioinvasion risk.

    abstract:BACKGROUND:Global maritime trade plays an important role in the modern transportation industry. It brings significant economic profit along with bioinvasion risk. Species translocate and establish in a non-native area through ballast water and biofouling. Aiming at aquatic bioinvasion issue, people proposed various sug...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2272-5

    authors: Wang S,Wang C,Wang S,Ma L

    更新日期:2018-08-13 00:00:00

  • IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning.

    abstract:BACKGROUND:Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions must be discovered. However, current computational methods for predicti...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3278-3

    authors: Yan C,Duan G,Wu FX,Wang J

    更新日期:2019-12-27 00:00:00

  • Colony size measurement of the yeast gene deletion strains for functional genomics.

    abstract:BACKGROUND:Numerous functional genomics approaches have been developed to study the model organism yeast, Saccharomyces cerevisiae, with the aim of systematically understanding the biology of the cell. Some of these techniques are based on yeast growth differences under different conditions, such as those generated by ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-117

    authors: Memarian N,Jessulat M,Alirezaie J,Mir-Rashed N,Xu J,Zareie M,Smith M,Golshani A

    更新日期:2007-04-04 00:00:00

  • PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences.

    abstract:BACKGROUND:MicroRNAs (miRNAs) are a kind of small noncoding RNA molecules that are direct posttranscriptional regulations of mRNA targets. Studies have indicated that miRNAs play key roles in complex diseases by taking part in many biological processes, such as cell growth, cell death and so on. Therefore, in order to ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3426-9

    authors: Yan C,Wu FX,Wang J,Duan G

    更新日期:2020-03-18 00:00:00

  • Stochastic models for the in silico simulation of synaptic processes.

    abstract:BACKGROUND:Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investigated to be precisely modeled and virtual experiments to be performed in silico. Such experiments may result in easier, faster, and satisfying a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S4-S7

    authors: Bracciali A,Brunelli M,Cataldo E,Degano P

    更新日期:2008-04-25 00:00:00

  • Quartet decomposition server: a platform for analyzing phylogenetic trees.

    abstract:BACKGROUND:The frequent exchange of genetic material among prokaryotes means that extracting a majority or plurality phylogenetic signal from many gene families, and the identification of gene families that are in significant conflict with the plurality signal is a frequent task in comparative genomics, and especially ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-123

    authors: Mao F,Williams D,Zhaxybayeva O,Poptsova M,Lapierre P,Gogarten JP,Xu Y

    更新日期:2012-06-07 00:00:00

  • Extracting transcription factor binding sites from unaligned gene sequences with statistical models.

    abstract:BACKGROUND:Transcription factor binding sites (TFBSs) are crucial in the regulation of gene transcription. Recently, chromatin immunoprecipitation followed by cDNA microarray hybridization (ChIP-chip array) has been used to identify potential regulatory sequences, but the procedure can only map the probable protein-DNA...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S12-S7

    authors: Lu CC,Yuan WH,Chen TM

    更新日期:2008-12-12 00:00:00

  • A sensitive short read homology search tool for paired-end read sequencing data.

    abstract:BACKGROUND:Homology search is still a significant step in functional analysis for genomic data. Profile Hidden Markov Model-based homology search has been widely used in protein domain analysis in many different species. In particular, with the fast accumulation of transcriptomic data of non-model species and metagenom...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1826-2

    authors: Techa-Angkoon P,Sun Y,Lei J

    更新日期:2017-10-16 00:00:00

  • Vertical decomposition with Genetic Algorithm for Multiple Sequence Alignment.

    abstract:BACKGROUND:Many Bioinformatics studies begin with a multiple sequence alignment as the foundation for their research. This is because multiple sequence alignment can be a useful technique for studying molecular evolution and analyzing sequence structure relationships. RESULTS:In this paper, we have proposed a Vertical...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-353

    authors: Naznin F,Sarker R,Essam D

    更新日期:2011-08-25 00:00:00

  • New directions in biomedical text annotation: definitions, guidelines and corpus construction.

    abstract:BACKGROUND:While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step towards more accurate text-mining lies in the ability to identify and characterize text that satisfies various types of information needs. We rep...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-356

    authors: Wilbur WJ,Rzhetsky A,Shatkay H

    更新日期:2006-07-25 00:00:00

  • JISTIC: identification of significant targets in cancer.

    abstract:BACKGROUND:Cancer is caused through a multistep process, in which a succession of genetic changes, each conferring a competitive advantage for growth and proliferation, leads to the progressive conversion of normal human cells into malignant cancer cells. Interrogation of cancer genomes holds the promise of understandi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-189

    authors: Sanchez-Garcia F,Akavia UD,Mozes E,Pe'er D

    更新日期:2010-04-14 00:00:00

  • SPECS: a non-parametric method to identify tissue-specific molecular features for unbalanced sample groups.

    abstract:BACKGROUND:To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3407-z

    authors: Everaert C,Volders PJ,Morlion A,Thas O,Mestdagh P

    更新日期:2020-02-17 00:00:00

  • Comparison of methods to detect copy number alterations in cancer using simulated and real genotyping data.

    abstract:BACKGROUND:The detection of genomic copy number alterations (CNA) in cancer based on SNP arrays requires methods that take into account tumour specific factors such as normal cell contamination and tumour heterogeneity. A number of tools have been recently developed but their performance needs yet to be thoroughly asse...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-192

    authors: Mosén-Ansorena D,Aransay AM,Rodríguez-Ezpeleta N

    更新日期:2012-08-07 00:00:00

  • Improving the prediction of mRNA extremities in the parasitic protozoan Leishmania.

    abstract:BACKGROUND:Leishmania and other members of the Trypanosomatidae family diverged early on in eukaryotic evolution and consequently display unique cellular properties. Their apparent lack of transcriptional regulation is compensated by complex post-transcriptional control mechanisms, including the processing of polycistr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-158

    authors: Smith M,Blanchette M,Papadopoulou B

    更新日期:2008-03-20 00:00:00

  • Considering scores between unrelated proteins in the search database improves profile comparison.

    abstract:BACKGROUND:Profile-based comparison of multiple sequence alignments is a powerful methodology for the detection remote protein sequence similarity, which is essential for the inference and analysis of protein structure, function, and evolution. Accurate estimation of statistical significance of detected profile similar...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-399

    authors: Sadreyev RI,Wang Y,Grishin NV

    更新日期:2009-12-04 00:00:00

  • Attenuating dependence on structural data in computing protein energy landscapes.

    abstract:BACKGROUND:Nearly all cellular processes involve proteins structurally rearranging to accommodate molecular partners. The energy landscape underscores the inherent nature of proteins as dynamic molecules interconverting between structures with varying energies. In principle, reconstructing a protein's energy landscape ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2822-5

    authors: Morris D,Maximova T,Plaku E,Shehu A

    更新日期:2019-06-06 00:00:00

  • proTRAC--a software for probabilistic piRNA cluster detection, visualization and analysis.

    abstract:BACKGROUND:Throughout the metazoan lineage, typically gonadal expressed Piwi proteins and their guiding piRNAs (~26-32nt in length) form a protective mechanism of RNA interference directed against the propagation of transposable elements (TEs). Most piRNAs are generated from genomic piRNA clusters. Annotation of experi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-5

    authors: Rosenkranz D,Zischler H

    更新日期:2012-01-10 00:00:00

  • Simulating autosomal genotypes with realistic linkage disequilibrium and a spiked-in genetic effect.

    abstract:BACKGROUND:To evaluate statistical methods for genome-wide genetic analyses, one needs to be able to simulate realistic genotypes. We here describe a method, applicable to a broad range of association study designs, that can simulate autosome-wide single-nucleotide polymorphism data with realistic linkage disequilibriu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-2004-2

    authors: Shi M,Umbach DM,Wise AS,Weinberg CR

    更新日期:2018-01-02 00:00:00