The reactive metabolite target protein database (TPDB)--a web-accessible resource.

Abstract:

BACKGROUND:The toxic effects of many simple organic compounds stem from their biotransformation to chemically reactive metabolites which bind covalently to cellular proteins. To understand the mechanisms of cytotoxic responses it may be important to know which proteins become adducted and whether some may be common targets of multiple toxins. The literature of this field is widely scattered but expanding rapidly, suggesting the need for a comprehensive, searchable database of reactive metabolite target proteins. DESCRIPTION:The Reactive Metabolite Target Protein Database (TPDB) is a comprehensive, curated, searchable, documented compilation of publicly available information on the protein targets of reactive metabolites of 18 well-studied chemicals and drugs of known toxicity. TPDB software enables i) string searches for author names and proteins names/synonyms, ii) more complex searches by selecting chemical compound, animal species, target tissue and protein names/synonyms from pull-down menus, and iii) commonality searches over multiple chemicals. Tabulated search results provide information, references and links to other databases. CONCLUSION:The TPDB is a unique on-line compilation of information on the covalent modification of cellular proteins by reactive metabolites of chemicals and drugs. Its comprehensiveness and searchability should facilitate the elucidation of mechanisms of reactive metabolite toxicity. The database is freely available at http://tpdb.medchem.ku.edu/tpdb.html.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Hanzlik RP,Koen YM,Theertham B,Dong Y,Fang J

doi

10.1186/1471-2105-8-95

subject

Has Abstract

pub_date

2007-03-16 00:00:00

pages

95

issn

1471-2105

pii

1471-2105-8-95

journal_volume

8

pub_type

杂志文章
  • Survival models with preclustered gene groups as covariates.

    abstract:BACKGROUND:An important application of high dimensional gene expression measurements is the risk prediction and the interpretation of the variables in the resulting survival models. A major problem in this context is the typically large number of genes compared to the number of observations (individuals). Feature selec...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-478

    authors: Kammers K,Lang M,Hengstler JG,Schmidt M,Rahnenführer J

    更新日期:2011-12-16 00:00:00

  • Inferring functional modules of protein families with probabilistic topic models.

    abstract:BACKGROUND:Genome and metagenome studies have identified thousands of protein families whose functions are poorly understood and for which techniques for functional characterization provide only partial information. For such proteins, the genome context can give further information about their functional context. RESU...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-141

    authors: Konietzny SG,Dietz L,McHardy AC

    更新日期:2011-05-09 00:00:00

  • Measuring similarities between transcription factor binding sites.

    abstract:BACKGROUND:Collections of transcription factor binding profiles (Transfac, Jaspar) are essential to identify regulatory elements in DNA sequences. Subsets of highly similar profiles complicate large scale analysis of transcription factor binding sites. RESULTS:We propose to identify and group similar profiles using tw...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-237

    authors: Kielbasa SM,Gonze D,Herzel H

    更新日期:2005-09-28 00:00:00

  • Reference-guided de novo assembly approach improves genome reconstruction for related species.

    abstract:BACKGROUND:The development of next-generation sequencing has made it possible to sequence whole genomes at a relatively low cost. However, de novo genome assemblies remain challenging due to short read length, missing data, repetitive regions, polymorphisms and sequencing errors. As more and more genomes are sequenced,...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1911-6

    authors: Lischer HEL,Shimizu KK

    更新日期:2017-11-10 00:00:00

  • Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks.

    abstract:BACKGROUND:Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are used to discretize microarray data. Selection of the discretization method is often arbitrary and no systematic comparison of different discreti...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-520

    authors: Li Y,Liu L,Bai X,Cai H,Ji W,Guo D,Zhu Y

    更新日期:2010-10-19 00:00:00

  • Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision trees.

    abstract:BACKGROUND:Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of artificial neural networks (ANN), decision trees (DT) and logistic re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-100

    authors: Chou HL,Yao CT,Su SL,Lee CY,Hu KY,Terng HJ,Shih YW,Chang YT,Lu YF,Chang CW,Wahlqvist ML,Wetter T,Chu CM

    更新日期:2013-03-19 00:00:00

  • Promoter prediction in E. coli based on SIDD profiles and Artificial Neural Networks.

    abstract:BACKGROUND:One of the major challenges in biology is the correct identification of promoter regions. Computational methods based on motif searching have been the traditional approach taken. Recent studies have shown that DNA structural properties, such as curvature, stacking energy, and stress-induced duplex destabiliz...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S6-S17

    authors: Bland C,Newsome AS,Markovets AA

    更新日期:2010-10-07 00:00:00

  • An efficient visualization tool for the analysis of protein mutation matrices.

    abstract:BACKGROUND:It is useful to develop a tool that would effectively describe protein mutation matrices specifically geared towards the identification of mutations that produce either wanted or unwanted effects, such as an increase or decrease in affinity, or a predisposition towards misfolding. Here, we describe a tool wh...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-218

    authors: David MP,Lapid CM,Daria VR

    更新日期:2008-04-28 00:00:00

  • pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties.

    abstract:BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-152

    authors: Sarda D,Chua GH,Li KB,Krishnan A

    更新日期:2005-06-17 00:00:00

  • Identifying gene and protein mentions in text using conditional random fields.

    abstract:BACKGROUND:We present a model for tagging gene and protein mentions from text using the probabilistic sequence tagging framework of conditional random fields (CRFs). Conditional random fields model the probability P(t/o) of a tag sequence given an observation sequence directly, and have previously been employed success...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-S1-S6

    authors: McDonald R,Pereira F

    更新日期:2005-01-01 00:00:00

  • Finite mixture clustering of human tissues with different levels of IGF-1 splice variants mRNA transcripts.

    abstract:BACKGROUND:This study addresses a recurrent biological problem, that is to define a formal clustering structure for a set of tissues on the basis of the relative abundance of multiple alternatively spliced isoforms mRNAs generated by the same gene. To this aim, we have used a model-based clustering approach, based on a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0689-7

    authors: Pelosi M,Alfò M,Martella F,Pappalardo E,Musarò A

    更新日期:2015-09-15 00:00:00

  • Network hub-node prioritization of gene regulation with intra-network association.

    abstract:BACKGROUND:To identify and prioritize the influential hub genes in a gene-set or biological pathway, most analyses rely on calculation of marginal effects or tests of statistical significance. These procedures may be inappropriate since hub nodes are common connection points and therefore may interact with other nodes ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3444-7

    authors: Chang HC,Chu CP,Lin SJ,Hsiao CK

    更新日期:2020-03-12 00:00:00

  • Optimal sequencing depth design for whole genome re-sequencing in pigs.

    abstract:BACKGROUND:As whole-genome sequencing is becoming a routine technique, it is important to identify a cost-effective depth of sequencing for such studies. However, the relationship between sequencing depth and biological results from the aspects of whole-genome coverage, variant discovery power and the quality of varian...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3164-z

    authors: Jiang Y,Jiang Y,Wang S,Zhang Q,Ding X

    更新日期:2019-11-08 00:00:00

  • Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression.

    abstract:BACKGROUND:The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level probe intensities, then deriving significance by comparing these expression levels between conditions. The proposed PL-LM (Probe-Level Linear ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-391

    authors: Lemieux S

    更新日期:2006-08-25 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

  • Species-specific analysis of protein sequence motifs using mutual information.

    abstract:BACKGROUND:Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families of related sequences. ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-164

    authors: Hummel J,Keshvari N,Weckwerth W,Selbig J

    更新日期:2005-06-29 00:00:00

  • Learning statistical models for annotating proteins with function information using biomedical text.

    abstract:BACKGROUND:The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical research articles. We participated in Task 2 of the evaluation. For this task, we built a system to automatically annotate a given protein wit...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-S1-S18

    authors: Ray S,Craven M

    更新日期:2005-01-01 00:00:00

  • Partial mixture model for tight clustering of gene expression time-course.

    abstract:BACKGROUND:Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters. However, in the literature there is little work dedicated to this area of research. On...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-287

    authors: Yuan Y,Li CT,Wilson R

    更新日期:2008-06-18 00:00:00

  • GLOSSI: a method to assess the association of genetic loci-sets with complex diseases.

    abstract:BACKGROUND:The developments of high-throughput genotyping technologies, which enable the simultaneous genotyping of hundreds of thousands of single nucleotide polymorphisms (SNP) have the potential to increase the benefits of genetic epidemiology studies. Although the enhanced resolution of these platforms increases th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-102

    authors: Chai HS,Sicotte H,Bailey KR,Turner ST,Asmann YW,Kocher JP

    更新日期:2009-04-03 00:00:00

  • SSWAP: A Simple Semantic Web Architecture and Protocol for semantic web services.

    abstract:BACKGROUND:SSWAP (Simple Semantic Web Architecture and Protocol; pronounced "swap") is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP was developed as a hybrid semantic web services technology to overcome limitations foun...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-309

    authors: Gessler DD,Schiltz GS,May GD,Avraham S,Town CD,Grant D,Nelson RT

    更新日期:2009-09-23 00:00:00

  • On the detection of functionally coherent groups of protein domains with an extension to protein annotation.

    abstract:BACKGROUND:Protein domains coordinate to perform multifaceted cellular functions, and domain combinations serve as the functional building blocks of the cell. The available methods to identify functional domain combinations are limited in their scope, e.g. to the identification of combinations falling within individual...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-390

    authors: McLaughlin WA,Chen K,Hou T,Wang W

    更新日期:2007-10-16 00:00:00

  • Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model.

    abstract:BACKGROUND:Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variation in human populations. Array-based comparative genomic hybridization (array-CGH) and newly developed read-depth approach through ultrahigh ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-539

    authors: Zhang ZD,Gerstein MB

    更新日期:2010-10-31 00:00:00

  • A new pooling strategy for high-throughput screening: the Shifted Transversal Design.

    abstract:BACKGROUND:In binary high-throughput screening projects where the goal is the identification of low-frequency events, beyond the obvious issue of efficiency, false positives and false negatives are a major concern. Pooling constitutes a natural solution: it reduces the number of tests, while providing critical duplicat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-28

    authors: Thierry-Mieg N

    更新日期:2006-01-19 00:00:00

  • PIGS: improved estimates of identity-by-descent probabilities by probabilistic IBD graph sampling.

    abstract::Identifying segments in the genome of different individuals that are identical-by-descent (IBD) is a fundamental element of genetics. IBD data is used for numerous applications including demographic inference, heritability estimation, and mapping disease loci. Simultaneous detection of IBD over multiple haplotypes has...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-16-S5-S9

    authors: Park DS,Baran Y,Hormozdiari F,Eng C,Torgerson DG,Burchard EG,Zaitlen N

    更新日期:2015-01-01 00:00:00

  • SILVA tree viewer: interactive web browsing of the SILVA phylogenetic guide trees.

    abstract:BACKGROUND:Phylogenetic trees are an important tool to study the evolutionary relationships among organisms. The huge amount of available taxa poses difficulties in their interactive visualization. This hampers the interaction with the users to provide feedback for the further improvement of the taxonomic framework. R...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1841-3

    authors: Beccati A,Gerken J,Quast C,Yilmaz P,Glöckner FO

    更新日期:2017-09-30 00:00:00

  • MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data.

    abstract:BACKGROUND:Recent advances in global genomic profiling methodologies have enabled multi-dimensional characterization of biological systems. Complete analysis of these genomic profiles require an in depth look at parallel profiles of segmental DNA copy number status, DNA methylation state, single nucleotide polymorphism...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-243

    authors: Chi B,deLeeuw RJ,Coe BP,Ng RT,MacAulay C,Lam WL

    更新日期:2008-05-20 00:00:00

  • Localizing triplet periodicity in DNA and cDNA sequences.

    abstract:BACKGROUND:The protein-coding regions (coding exons) of a DNA sequence exhibit a triplet periodicity (TP) due to fact that coding exons contain a series of three nucleotide codons that encode specific amino acid residues. Such periodicity is usually not observed in introns and intergenic regions. If a DNA sequence is d...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-550

    authors: Wang L,Stein LD

    更新日期:2010-11-08 00:00:00

  • Detecting lateral gene transfers by statistical reconciliation of phylogenetic forests.

    abstract:BACKGROUND:To understand the evolutionary role of Lateral Gene Transfer (LGT), accurate methods are needed to identify transferred genes and infer their timing of acquisition. Phylogenetic methods are particularly promising for this purpose, but the reconciliation of a gene tree with a reference (species) tree is compu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-324

    authors: Abby SS,Tannier E,Gouy M,Daubin V

    更新日期:2010-06-15 00:00:00

  • μHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix.

    abstract:BACKGROUND:The miRNAs, a class of short approximately 22-nucleotide non-coding RNAs, often act post-transcriptionally to inhibit mRNA expression. In effect, they control gene expression by targeting mRNA. They also help in carrying out normal functioning of a cell as they play an important role in various cellular proc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-266

    authors: Paul S,Maji P

    更新日期:2013-09-04 00:00:00

  • Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data.

    abstract:BACKGROUND:Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hybridised to chips are vague. We conducted an experiment hybridising RNA from human brain to 117 U133A Affymetrix GeneChips and used these data...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-211

    authors: Jones L,Goldstein DR,Hughes G,Strand AD,Collin F,Dunnett SB,Kooperberg C,Aragaki A,Olson JM,Augood SJ,Faull RL,Luthi-Carter R,Moskvina V,Hodges AK

    更新日期:2006-04-19 00:00:00