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At least 703 records · Page 39Linked to original sources
PubMed2002

SCORPION, a molecular database of scorpion toxins.

Increasing interest in the studies of toxins and the requirements for better structural and functional annotations have created a need for improved data management in the field of toxins. The molecular database, SCORPION, contains more than 200 entries of fully referenced scorpion toxin data including primary sequences, three-dimensional structures, structural and functional annotations of scorpion toxins along with relevant literature references. SCORPION has a set of search tools that allow users to extract data and perform specific queries. These entries have been compiled from public databases and literature, cleaned of errors and enriched with additional structural and functional information. The grouping of scorpion toxins provides a basis for extending and clarifying the existing structural and functional classifications. The bioinformatics modules in SCORPION facilitate analyses aimed at classification of scorpion toxins and identification of sequence patterns associated with specific structural or functional properties of scorpion toxins. The SCORPION database is accessible via the Internet at sdmc.krdl.org.sg:8080/scorpion.

Animals↗
PubMed2002

The Mouse Tumor Biology Database: a public resource for cancer genetics and pathology of the mouse.

Developing genetic mouse models for cancer research has been recognized as an "exceptional opportunity" by the National Cancer Institute. The establishment of bioinformatics resources to facilitate access to published and unpublished data on the genetics and pathology of cancer in different strains of the laboratory mouse is critical to developing and using mouse models of human disease. In this article, we review the Mouse Tumor Biology Database (MTB), a public resource for information on cancer genetics, epidemiology, and pathology in genetically defined mice. We outline current content, data acquisition strategies, and query mechanisms for MTB. MTB is accessible on-line at http://tumor.informatics.jax.org.

Animals↗
PubMed2005

PFD: a database for the investigation of protein folding kinetics and stability.

We have developed a new database that collects all protein folding data into a single, easily accessible public resource. The Protein Folding Database (PFD) contains annotated structural, methodological, kinetic and thermodynamic data for more than 50 proteins, from 39 families. A user-friendly web interface has been developed that allows powerful searching, browsing and information retrieval, whilst providing links to other protein databases. The database structure allows visualization of folding data in a useful and novel way, with a long-term aim of facilitating data mining and bioinformatics approaches. PFD can be accessed freely at http://pfd.med.monash.edu.au.

Databases, Protein↗
PubMed2004

Bioinformatics for the 'bench biologist': how to find regulatory regions in genomic DNA.

The combination of bioinformatic and biological approaches constitutes a powerful method for identifying gene regulatory elements. High-quality genome sequences are available in public databases for several vertebrate species. Comparative cross-species sequence analysis of these genomes shows considerable conservation of noncoding sequences in DNA. Biological analyses show that an unexpectedly high number of the conserved sequences correspond to functional cis-regulatory regions that influence gene transcription. Because research biologists are often unfamiliar with the bioinformatic resources at their disposal, this commentary discusses how to integrate biological and bioinformatic methods in the discovery of gene regulatory regions and includes a tutorial on widely available comparative genomics programs.

Animals↗
PubMed2002

[Bioinformatics].

Explore the source record for details and available documents.

Computational Biology↗
PubMedDate not supplied

An efficient implementation of a drug candidate database.

The recent advances in laboratory technologies have resulted in a wealth of chemical and biological data. The rapid proliferation of a vast amount of data has led to a set of cheminformatics and bioinformatics applications that manipulate dynamic, heterogeneous, and massive data. An example of such application in the pharmaceutical industry is the computational process involved in the early discovery of lead drug candidates for a given target disease. In this paper, an efficient implementation of a drug candidate database is presented and evaluated. This study shows that high performance data access can be achieved through proper choices of data representation, database schema design, and parallel processing techniques.

Computational Biology↗
PubMed2005

Importance of databases in experimental and clinical allergology.

Information technology (IT) is leading us to reconsider some of the approaches we have been using in both basic research and clinical work in allergology. Resources mainly coming from the advent of the Internet are further amplified by the parallel development of other new tools, such as molecular biology and nanotechnology. These three powerful tools are now available and are cross-linked to a certain degree to express their power when applied to biomedical fields. Bioinformatics applied to allergy simplifies our way of handling an increasing wealth of knowledge. This review assesses the current status of allergen databases that are mainly dedicated to sequence homology collection for computational purposes. Whether or not they integrate features that are now typical of IT in other biomedical fields is analyzed as well. The results of these analyses are discussed with a view to the critical need of integrating biochemical data with clinical, epidemiological information and how this goal can be reached by the use of proteomic microarrays for IgE detection. Future directions for a more comprehensive use of allergen databases are proposed.

Allergens↗
PubMed2003

The apoptosis database.

The apoptosis database is a public resource for researchers and students interested in the molecular biology of apoptosis. The resource provides functional annotation, literature references, diagrams/images, and alternative nomenclatures on a set of proteins having 'apoptotic domains'. These are the distinctive domains that are often, if not exclusively, found in proteins involved in apoptosis. The initial choice of proteins to be included is defined by apoptosis experts and bioinformatics tools. Users can browse through the web accessible lists of domains, proteins containing these domains and their associated homologs. The database can also be searched by sequence homology using basic local alignment search tool, text word matches of the annotation, and identifiers for specific records. The resource is available at http://www.apoptosis-db.org and is updated on a regular basis.

Animals↗
PubMed2001

The HIB database of annotated UniGene clusters.

SUMMARY: The HumanInfoBase (HIB) is a database of putative human gene transcripts. UniGene clusters are assembled, and the resulting consensus sequences are submitted to the PEDANT software system (Frishman,D., Albermann,K., Hani,J., Heumann,K., Metanomski,A., Zollner,A. and Mewes,H.-W., 2001, Bioinformatics, 17, 44--57) for fully automatic sequence analysis and annotation. Predicted transcripts are classified using a variety of functional and structural categories, and hyperlinks to various databases are provided for additional information. A WWW-based graphical user interface represents the assembly process as well as functionally important sites in the putative transcripts.

Data Collection↗
PubMed2004

Hash4, a novel human achaete-scute homologue found in fetal skin.

To find additional members of the basic helix-loop-helix (bHLH) protein family in human, the bioinformatic tools provided by the National Center for Biotechnology Information was used for homology searches through databases. We report the identification and cloning of a new, fourth member in the achaete-scute complex family of genes, Hash4 or Ascl4, which maps to chromosome 12q24.1. The bHLH domain of the putative HASH4 protein shows most identity to HASH3/ASCL3. The expression of Hash4 and Hash3 was analyzed by reverse transcriptase polymerase chain reaction (PCR), in a panel of different human tissues and cells. Expression of Hash3 was detected in all samples tested, while the expression of Hash4 was restricted to skin. Quantification of the Hash4 expression by real-time PCR revealed a 7-fold higher expression in fetal skin compared to adult skin. Our results suggest HASH4 to be involved in skin development.

Amino Acid Sequence↗
PubMed2007

Comparative proteome analysis of serum from acute pulmonary embolism rat model for biomarker discovery.

Pulmonary embolism (PE) is a common, potentially fatal disease and its diagnosis is challenging because clinical signs and symptoms are nonspecific. In this study, to investigate protein alterations of a rat PE model, total serum proteins collected at different time points were separated by two-dimensional electrophoresis (2-DE) and identified using matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Bioinformatics analysis of 24 differentially expressed proteins showed that 20 had corresponding protein candidates in the database. According to their properties and obvious alterations after PE, changes of serum concentrations of Hp, Fn, DBP, RBP, and TTR were selected to be reidentified by western blot analysis. Semiquantitative RT-PCR showed DBP, RBP, and TTR to be down-regulated at mRNA levels in livers but not in lung tissues. The low serum concentrations of DBP, RBP, and TTR resulted in the up-regulation of 25(OH)D3, vitamin A, and FT4 (ligands of DBP, RBP, and TTR) after acute PE in rat models. The serum levels of Hp and Fn were detected in patients with DVT/PE and controls to explore their diagnostic prospects in acute PE because the mRNA levels of Hp and Fn were found to be up-regulated both in lung tissues and in livers after acute PE. Our data suggested that the concentration of serum Fn in controls was 79.42 +/- 31.57 microg/L, whereas that of PE/DVT patients was 554.43 +/- 136.18 microg/L (P < 0.001), and that the concentration of serum Hp in controls was 824.37 +/- 235.24 mg/L, whereas that of PE/DVT patients was 2063.48 +/- 425.38 mg/L (P < 0.001). The experimental PE rat model selected in this study was more similar to the clinical process than the other existing PE animal models, and the findings indicated instant changes of serum proteins within 48 h after acute PE. The exploration of these differentially expressed proteins or their combination with existent markers such as D-dimer may greatly improve the accuracy of the diagnosis of acute PE, but diagnostic tests are still needed to evaluate the sensitivity and specificity of these markers and also the number of false positives and false negatives.

Acute Disease↗
PubMed2003

Identification of the substrates and interaction proteins of aurora kinases from a protein-protein interaction model.

The increasing use of high-throughput and large-scale bioinformatics-based studies has generated a massive amount of data stored in a number of different databases. The major need now is to explore this disparate data to find biologically relevant interactions and pathways. Thus, in the post-genomic era, there is clearly a need for the development of algorithms that can accurately predict novel protein-protein interaction networks in silico. The evolutionarily conserved Aurora family kinases have been chosen as a model for the development of a method to identify novel biological networks by a comparison of human and various model organisms. Our search methodology was designed to predict and prioritize molecular targets for Aurora family kinases, so that only the most promising are subjected to empirical testing. Four potential Aurora substrates and/or interacting proteins, TACC3, survivin, Hec1, and hsNuf2, were identified and empirically validated. Together, these results justify the timely implementation of in silico biology in routine wet-lab studies and have also allowed the application of a new approach to the elucidation of protein function in the post-genomic era.

Algorithms↗