KinMap: a web-based tool for interactive navigation through human kinome data.

Abstract:

BACKGROUND:Annotations of the phylogenetic tree of the human kinome is an intuitive way to visualize compound profiling data, structural features of kinases or functional relationships within this important class of proteins. The increasing volume and complexity of kinase-related data underlines the need for a tool that enables complex queries pertaining to kinase disease involvement and potential therapeutic uses of kinase inhibitors. RESULTS:Here, we present KinMap, a user-friendly online tool that facilitates the interactive navigation through kinase knowledge by linking biochemical, structural, and disease association data to the human kinome tree. To this end, preprocessed data from freely-available sources, such as ChEMBL, the Protein Data Bank, and the Center for Therapeutic Target Validation platform are integrated into KinMap and can easily be complemented by proprietary data. The value of KinMap will be exemplarily demonstrated for uncovering new therapeutic indications of known kinase inhibitors and for prioritizing kinases for drug development efforts. CONCLUSION:KinMap represents a new generation of kinome tree viewers which facilitates interactive exploration of the human kinome. KinMap enables generation of high-quality annotated images of the human kinome tree as well as exchange of kinome-related data in scientific communications. Furthermore, KinMap supports multiple input and output formats and recognizes alternative kinase names and links them to a unified naming scheme, which makes it a useful tool across different disciplines and applications. A web-service of KinMap is freely available at http://www.kinhub.org/kinmap/ .

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Eid S,Turk S,Volkamer A,Rippmann F,Fulle S

doi

10.1186/s12859-016-1433-7

subject

Has Abstract

pub_date

2017-01-05 00:00:00

pages

16

issue

1

issn

1471-2105

pii

10.1186/s12859-016-1433-7

journal_volume

18

pub_type

杂志文章
  • Predicting Bevirimat resistance of HIV-1 from genotype.

    abstract:BACKGROUND:Maturation inhibitors are a new class of antiretroviral drugs. Bevirimat (BVM) was the first substance in this class of inhibitors entering clinical trials. While the inhibitory function of BVM is well established, the molecular mechanisms of action and resistance are not well understood. It is known that mu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-37

    authors: Heider D,Verheyen J,Hoffmann D

    更新日期:2010-01-20 00:00:00

  • SamSelect: a sample sequence selection algorithm for quorum planted motif search on large DNA datasets.

    abstract:BACKGROUND:Given a set of t n-length DNA sequences, q satisfying 0 < q ≤ 1, and l and d satisfying 0 ≤ d < l < n, the quorum planted motif search (qPMS) finds l-length strings that occur in at least qt input sequences with up to d mismatches and is mainly used to locate transcription factor binding sites in DNA sequenc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2242-y

    authors: Yu Q,Wei D,Huo H

    更新日期:2018-06-18 00:00:00

  • Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets.

    abstract:BACKGROUND:The efficient and robust statistical analysis of the shape of plant organs of different cultivars is an important investigation issue in plant breeding and enables a robust cultivar description within the breeding progress. Laserscanning is a highly accurate and high resolution technique to acquire the 3D sh...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03654-8

    authors: Heeren B,Paulus S,Goldbach H,Kuhlmann H,Mahlein AK,Rumpf M,Wirth B

    更新日期:2020-07-29 00:00:00

  • Swellix: a computational tool to explore RNA conformational space.

    abstract:BACKGROUND:The sequence of nucleotides in an RNA determines the possible base pairs for an RNA fold and thus also determines the overall shape and function of an RNA. The Swellix program presented here combines a helix abstraction with a combinatorial approach to the RNA folding problem in order to compute all possible...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1910-7

    authors: Sloat N,Liu JW,Schroeder SJ

    更新日期:2017-11-21 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

  • ProMEX: a mass spectral reference database for proteins and protein phosphorylation sites.

    abstract:BACKGROUND:In the last decade, techniques were established for the large scale genome-wide analysis of proteins, RNA, and metabolites, and database solutions have been developed to manage the generated data sets. The Golm Metabolome Database for metabolite data (GMD) represents one such effort to make these data broadl...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-216

    authors: Hummel J,Niemann M,Wienkoop S,Schulze W,Steinhauser D,Selbig J,Walther D,Weckwerth W

    更新日期:2007-06-23 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

  • NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data.

    abstract:BACKGROUND:Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it is unclear what coverage is ne...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2207-1

    authors: Fang L,Hu J,Wang D,Wang K

    更新日期:2018-05-23 00:00:00

  • Detection of gene pathways with predictive power for breast cancer prognosis.

    abstract:BACKGROUND:Prognosis is of critical interest in breast cancer research. Biomedical studies suggest that genomic measurements may have independent predictive power for prognosis. Gene profiling studies have been conducted to search for predictive genomic measurements. Genes have the inherent pathway structure, where pat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-1

    authors: Ma S,Kosorok MR

    更新日期:2010-01-01 00:00:00

  • CONSTAX: a tool for improved taxonomic resolution of environmental fungal ITS sequences.

    abstract:BACKGROUND:One of the most crucial steps in high-throughput sequence-based microbiome studies is the taxonomic assignment of sequences belonging to operational taxonomic units (OTUs). Without taxonomic classification, functional and biological information of microbial communities cannot be inferred or interpreted. The ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1952-x

    authors: Gdanetz K,Benucci GMN,Vande Pol N,Bonito G

    更新日期:2017-12-06 00:00:00

  • A benchmark study of sequence alignment methods for protein clustering.

    abstract:BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2524-4

    authors: Wang Y,Wu H,Cai Y

    更新日期:2018-12-31 00:00:00

  • Glycosylator: a Python framework for the rapid modeling of glycans.

    abstract:BACKGROUND:Carbohydrates are a class of large and diverse biomolecules, ranging from a simple monosaccharide to large multi-branching glycan structures. The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process referred to as N-linked glycosylation, plays an important role in the physiolog...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3097-6

    authors: Lemmin T,Soto C

    更新日期:2019-10-22 00:00:00

  • Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics.

    abstract:BACKGROUND:In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS:We proposed a probabilistic classification algorithm based on labe...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-S12-S5

    authors: Zhang P,Cao W,Obradovic Z

    更新日期:2013-01-01 00:00:00

  • Phylophenetic properties of metabolic pathway topologies as revealed by global analysis.

    abstract:BACKGROUND:As phenotypic features derived from heritable characters, the topologies of metabolic pathways contain both phylogenetic and phenetic components. In the post-genomic era, it is possible to measure the "phylophenetic" contents of different pathways topologies from a global perspective. RESULTS:We reconstruct...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-252

    authors: Zhang Y,Li S,Skogerbø G,Zhang Z,Zhu X,Zhang Z,Sun S,Lu H,Shi B,Chen R

    更新日期:2006-05-09 00:00:00

  • FITBAR: a web tool for the robust prediction of prokaryotic regulons.

    abstract:BACKGROUND:The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding sites in completely sequenced genomes is a key aspect in the deeper understanding of gene regulatory networks. Several algorithms have been des...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-554

    authors: Oberto J

    更新日期:2010-11-11 00:00:00

  • Predicting nucleosome positioning using a duration Hidden Markov Model.

    abstract:BACKGROUND:The nucleosome is the fundamental packing unit of DNAs in eukaryotic cells. Its detailed positioning on the genome is closely related to chromosome functions. Increasing evidence has shown that genomic DNA sequence itself is highly predictive of nucleosome positioning genome-wide. Therefore a fast software t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-346

    authors: Xi L,Fondufe-Mittendorf Y,Xia L,Flatow J,Widom J,Wang JP

    更新日期:2010-06-24 00:00:00

  • Meta-eQTL: a tool set for flexible eQTL meta-analysis.

    abstract:BACKGROUND:Increasing number of eQTL (Expression Quantitative Trait Loci) datasets facilitate genetics and systems biology research. Meta-analysis tools are in need to jointly analyze datasets of same or similar issue types to improve statistical power especially in trans-eQTL mapping. Meta-analysis framework is also n...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0392-0

    authors: Di Narzo AF,Cheng H,Lu J,Hao K

    更新日期:2014-11-28 00:00:00

  • Preliminary nanopore cheminformatics analysis of aptamer-target binding strength.

    abstract:BACKGROUND:Aptamers are nucleic acids selected for their ability to bind to molecules of interest and may provide the basis for a whole new class of medicines. If the aptamer is simply a dsDNA molecule with a ssDNA overhang (a "sticky" end) then the segment of ssDNA that complements that overhang provides a known bindi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S7-S11

    authors: Thomson K,Amin I,Morales E,Winters-Hilt S

    更新日期:2007-11-01 00:00:00

  • Efficient use of unlabeled data for protein sequence classification: a comparative study.

    abstract:BACKGROUND:Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain significantly improved acc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S4-S2

    authors: Kuksa P,Huang PH,Pavlovic V

    更新日期:2009-04-29 00:00:00

  • CNN-based ranking for biomedical entity normalization.

    abstract:BACKGROUND:Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1805-7

    authors: Li H,Chen Q,Tang B,Wang X,Xu H,Wang B,Huang D

    更新日期:2017-10-03 00:00:00

  • Prototype semantic infrastructure for automated small molecule classification and annotation in lipidomics.

    abstract:BACKGROUND:The development of high-throughput experimentation has led to astronomical growth in biologically relevant lipids and lipid derivatives identified, screened, and deposited in numerous online databases. Unfortunately, efforts to annotate, classify, and analyze these chemical entities have largely remained in ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-303

    authors: Chepelev LL,Riazanov A,Kouznetsov A,Low HS,Dumontier M,Baker CJ

    更新日期:2011-07-26 00:00:00

  • BicPAMS: software for biological data analysis with pattern-based biclustering.

    abstract:BACKGROUND:Biclustering has been largely applied for the unsupervised analysis of biological data, being recognised today as a key technique to discover putative modules in both expression data (subsets of genes correlated in subsets of conditions) and network data (groups of coherently interconnected biological entiti...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1493-3

    authors: Henriques R,Ferreira FL,Madeira SC

    更新日期:2017-02-02 00:00:00

  • Using distances between Top-n-gram and residue pairs for protein remote homology detection.

    abstract:BACKGROUND:Protein remote homology detection is one of the central problems in bioinformatics, which is important for both basic research and practical application. Currently, discriminative methods based on Support Vector Machines (SVMs) achieve the state-of-the-art performance. Exploring feature vectors incorporating...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S2-S3

    authors: Liu B,Xu J,Zou Q,Xu R,Wang X,Chen Q

    更新日期:2014-01-01 00:00:00

  • XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry.

    abstract:BACKGROUND:Chemical cross-linking is used for protein-protein contacts mapping and for structural analysis. One of the difficulties in cross-linking studies is the analysis of mass-spectrometry data and the assignment of the site of cross-link incorporation. The difficulties are due to higher charges of fragment ions, ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S11-S16

    authors: Jaiswal M,Crabtree N,Bauer MA,Hall R,Raney KD,Zybailov BL

    更新日期:2014-01-01 00:00:00

  • SBML-SAT: a systems biology markup language (SBML) based sensitivity analysis tool.

    abstract:BACKGROUND:It has long been recognized that sensitivity analysis plays a key role in modeling and analyzing cellular and biochemical processes. Systems biology markup language (SBML) has become a well-known platform for coding and sharing mathematical models of such processes. However, current SBML compatible software ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-342

    authors: Zi Z,Zheng Y,Rundell AE,Klipp E

    更新日期:2008-08-15 00:00:00

  • BISR-RNAseq: an efficient and scalable RNAseq analysis workflow with interactive report generation.

    abstract:BACKGROUND:RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance computing environment. RESULTS:Developed as a tool by the Bioinformatics Shared Resource Group (BISR) at...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3251-1

    authors: Gadepalli VS,Ozer HG,Yilmaz AS,Pietrzak M,Webb A

    更新日期:2019-12-20 00:00:00

  • Fast and accurate clustering of noncoding RNAs using ensembles of sequence alignments and secondary structures.

    abstract:BACKGROUND:Clustering of unannotated transcripts is an important task to identify novel families of noncoding RNAs (ncRNAs). Several hierarchical clustering methods have been developed using similarity measures based on the scores of structural alignment. However, the high computational cost of exact structural alignme...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S1-S48

    authors: Saito Y,Sato K,Sakakibara Y

    更新日期:2011-02-15 00:00:00

  • Sequencing error correction without a reference genome.

    abstract:BACKGROUND:Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors fr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-367

    authors: Sleep JA,Schreiber AW,Baumann U

    更新日期:2013-12-18 00:00:00

  • Overview of the Cancer Genetics and Pathway Curation tasks of BioNLP Shared Task 2013.

    abstract:BACKGROUND:Since their introduction in 2009, the BioNLP Shared Task events have been instrumental in advancing the development of methods and resources for the automatic extraction of information from the biomedical literature. In this paper, we present the Cancer Genetics (CG) and Pathway Curation (PC) tasks, two even...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-16-S10-S2

    authors: Pyysalo S,Ohta T,Rak R,Rowley A,Chun HW,Jung SJ,Choi SP,Tsujii J,Ananiadou S

    更新日期:2015-01-01 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