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NTDB: Thermodynamic Database for Nucleic Acids, Version 2.0.

The second release of Thermodynamic Database for Nucleic Acids, NTDB 2.0, includes more than 4600 entries (250% increase over release 1.0). It contains sequence types and details of several thermodynamic parameters (enthalpy, DeltaH; entropy, DeltaS; Gibbs free energy, DeltaG; melting temperature, T(m)), experimental models and methods for extracting thermodynamic parameters, buffer conditions as well as all relevant literature information. In addition, the database statistics and references related to NTDB are included. Information on normal and modified nucleobases and nucleosides are collected in a new section 'Nucleoside' whereby data collected thus far will be release in NTDB 2.0. The NTDB is freely available at http://ntdb.chem.cuhk.edu.hk.

Databases, Nucleic Acid↗

Lifelong self-directed learning using a computer database of clinical questions.

Physicians often have self-perceived knowledge gaps when they are seeing patients. Traditional continuing medical education is designed to meet the knowledge gaps of groups rather than individual physicians with specific patient problems. Physicians with clinical information needs are advised to critically evaluate high-quality original research in order to practice "evidence-based medicine." But this advice may be unrealistic for busy clinicians. We propose a system for documenting self-perceived information needs using a computer database. Concise answers to these needs are included in the database along with reference citations supporting the answers. The system tracks continuing education efforts, directs patient care decisions, and focuses lifelong learning on relevant topics. We emphasize the importance of being sensitive to personal information needs and the benefits of maintaining a record of these needs.

Clinical Medicine↗

Research for medical illustrators: searching for references.

The proliferation of online databases means that medical illustrators have ready access to a wide range of resources for research. This paper looks at approaches to finding references from a systematic keyword search, published bibliographies and journals of abstracts, to locally and nationally available online databases, e-mail alerting services and full-text journals. The Internet will often provide an abstract (similar to this), however, it may still be necessary to visit a library, archive or other source to find a hard copy, particularly for older material.

Abstracting and Indexing↗

Two-dimensional maps and databases of the human macrophage proteome and secretome.

Macrophages exert a crucial, but still incompletely known, role in complex disorders such inflammatory, immunological, and infectious diseases. A differential proteomic approach should help to elucidate the macrophage dysfunctions involved in these diseases. With this goal in mind, we established the first two-dimensional maps of the human macrophage proteome and secretome. Intracellular and secreted proteins were extracted from monocyte-derived macrophages obtained from healthy donors (n = 16), and separated by two-dimensional gel electrophoresis. Silver-stained gels were analyzed using Progenesis software. A high level of between-gel reproducibility was obtained, allowing us to generate two patterns specific of the macrophage proteome and secretome, respectively. A total of 127 and 66 distinct intracellular and secreted polypeptide spots, corresponding to 100 and 38 different proteins, respectively, were identified by matrix assisted laser desorption/ionisation-mass spectrometry. The two-dimensional reference maps and databases resulting from this study confirm that macrophages are involved in a wide range of biological functions, and that they provide a useful tool for a wide array of investigators involved in macrophage biology, allowing to investigate the macrophage protein changes associated with various disorders or environmental stimuli.

Databases, Protein↗

Gene annotation from scientific literature using mappings between keyword systems.

MOTIVATION: The description of genes in databases by keywords helps the non-specialist to quickly grasp the properties of a gene and increases the efficiency of computational tools that are applied to gene data (e.g. searching a gene database for sequences related to a particular biological process). However, the association of keywords to genes or protein sequences is a difficult process that ultimately implies examination of the literature related to a gene. RESULTS: To support this task, we present a procedure to derive keywords from the set of scientific abstracts related to a gene. Our system is based on the automated extraction of mappings between related terms from different databases using a model of fuzzy associations that can be applied with all generality to any pair of linked databases. We tested the system by annotating genes of the SWISS-PROT database with keywords derived from the abstracts linked to their entries (stored in the MEDLINE database of scientific references). The performance of the annotation procedure was much better for SWISS-PROT keywords (recall of 47%, precision of 68%) than for Gene Ontology terms (recall of 8%, precision of 67%). AVAILABILITY: The algorithm can be publicly accessed and used for the annotation of sequences through a web server at http://www.bork.embl.de/kat

Abstracting and Indexing↗

Analysis of flanking sequences from dissociation insertion lines: a database for reverse genetics in Arabidopsis.

We have generated Dissociation (Ds) element insertions throughout the Arabidopsis genome as a means of random mutagenesis. Here, we present the molecular analysis of genomic sequences that flank the Ds insertions of 931 independent transposant lines. Flanking sequences from 511 lines proved to be identical or homologous to DNA or protein sequences in public databases, and disruptions within known or putative genes were indicated for 354 lines. Because a significant portion (45%) of the insertions occurred within sequences defined by GenBank BAC and P1 clones, we were able to assess the distribution of Ds insertions throughout the genome. We discovered a significant preference for Ds transposition to the regions adjacent to nucleolus organizer regions on chromosomes 2 and 4. Otherwise, the mapped insertions appeared to be evenly dispersed throughout the genome. For any given gene, insertions preferentially occurred at the 5' end, although disruption was clearly possible at any intragenic position. The insertion sites of >500 lines that could be characterized by reference to public databases are presented in a tabular format at http://www.plantcell. org/cgi/content/full/11/12/2263/DC1. This database should be of value to researchers using reverse genetics approaches to determine gene function.

Arabidopsis↗

Panax ginseng: a systematic review of adverse effects and drug interactions.

Panax ginseng C. A. Meyer is a perennial herb native to Korea and China and has been used as an herbal remedy in eastern Asia for thousands of years. Modern therapeutic claims refer to vitality, immune function, cancer, cardiovascular diseases, improvement of cognitive and physical performance and sexual function. A recent systematic review of randomised controlled trials found that the efficacy of ginseng root extract could not be established beyond doubt for any of these indications. In order to obtain a balanced assessment of the therapeutic value of P. ginseng it is also necessary to consider the safety profile. In view of the extremely widespread use of P. ginseng it seems important to ask whether this herbal medicine involves health risks for the consumer. This review was conducted as a systematic attempt to document and evaluate all the available safety data on P. ginseng root extracts. Systematic searches were performed in five electronic databases and the reference lists of all papers located were checked for further relevant publications. All articles containing original data on adverse events and drug interactions with P. ginseng were included. Information was also requested from 12 manufacturers of ginseng preparations, the spontaneous reporting schemes of the WHO and national drug safety bodies. No language restrictions were imposed. Data from clinical trials suggest that the incidence of adverse events with ginseng monopreparations is similar to that with placebo. The most commonly experienced adverse events are headache, sleep and gastrointestinal disorders. The possibility of more serious adverse events is indicated in isolated case reports and data from spontaneous reporting schemes; however, causality is often difficult to determine from the evidence provided. Combination products containing ginseng as one of several constituents have been associated with serious adverse events and even fatalities. Interpretation of these cases is difficult as ingredients other than P. ginseng may have caused the problems. Possible drug interactions have been reported between P. ginseng and warfarin, phenelzine and alcohol. Collectively, these data suggest that P. ginseng monopreparations are rarely associated with adverse events or drug interactions. The ones that are documented are usually mild and transient. Combined preparations are more often associated with such events but causal attribution is usually not possible.

Clinical Trials as Topic↗

A systematic proteomic study of seed filling in soybean. Establishment of high-resolution two-dimensional reference maps, expression profiles, and an interactive proteome database.

A high-throughput proteomic approach was employed to determine the expression profile and identity of hundreds of proteins during seed filling in soybean (Glycine max) cv Maverick. Soybean seed proteins were analyzed at 2, 3, 4, 5, and 6 weeks after flowering using two-dimensional gel electrophoresis and matrix-assisted laser desorption ionization time-of-flight mass spectrometry. This led to the establishment of high-resolution proteome reference maps, expression profiles of 679 spots, and corresponding matrix-assisted laser desorption ionization time-of-flight mass spectrometry spectra for each spot. Database searching with these spectra resulted in the identification of 422 proteins representing 216 nonredundant proteins. These proteins were classified into 14 major functional categories. Proteins involved in metabolism, protein destination and storage, metabolite transport, and disease/defense were the most abundant. For each functional category, a composite expression profile is presented to gain insight into legume seed physiology and the general regulation of proteins associated with each functional class. Using this approach, an overall decrease in metabolism-related proteins versus an increase in proteins associated with destination and storage was observed during seed filling. The accumulation of unknown proteins, sucrose transport and cleavage enzymes, cysteine and methionine biosynthesis enzymes, 14-3-3-like proteins, lipoxygenases, storage proteins, and allergenic proteins during seed filling is also discussed. A user-intuitive database (http://oilseedproteomics.missouri.edu) was developed to access these data for soybean and other oilseeds currently being investigated.

Databases, Protein↗

Science's signal transduction knowledge environment: the connections maps database.

Knowledge environment (KE) describes the collection of electronic networking tools that have been and continue to be developed by AAAS and Stanford University libraries. Knowledge environments use practical, production-quality tools to systematize the consensus knowledge within a scientific domain and facilitate users' access to that knowledge. Science's Signal Transduction Knowledge Environment (STKE) is the first in this new concept in electronic publishing that combines the traditional, albeit electronic, publishing of articles, such as reviews, perspectives, and protocols, with tools for organizing and collating information in the cross-disciplinary field of signal transduction. One of the major tools developed for the STKE is the Connections Map database and the software (called CMADES [Connections Maps Authority Data Entry Software]) created to facilitate data entry by Pathway Authorities. The Connections Maps are a graphical representation of a database of information about the molecules involved in cellular signaling cascades. CMADES automates many of the functions involved in adding data into the Connections Maps database, such as references and descriptors, as well as allowing the Authorities to indicate the relationships between the components in the pathway through the use of a graphing tool. CMADES and the Connections Maps represent evolving tools that assist the Authorities in systemizing information regarding a particular system at the organism- and cell-specific level and the canonical level, as well as provide the STKE user with organized and expert-supplied information about signal transduction pathways.

Biology↗

Liver abscesses in children: a single center experience in the developed world.

OBJECTIVES: The aim of this study was to investigate the clinical and radiologic features, predisposing risk factors, and complications of children with pyogenic liver abscess (PLA) referred to a tertiary pediatric hepatology center. METHODS: We analyzed our database of all children referred to our unit over a 10 year period and performed a case note review of all patients with a radiologically proven PLA. RESULTS: PLA was diagnosed in 15 children (7 boys), 0.5% of all referrals. They presented at a median age of 10 years (range 2 months-15 years). In three children (2 boys), PLA was the first manifestation of chronic granulomatous disease. Among the others, five had radiologic evidence of other intra-abdominal pathology (1 with subsequently proven appendicitis), and four developed portal vein thrombosis with portal hypertension. The commonest isolated pathogen was Staphylococcus aureus. Combined treatment with guided aspiration and prolonged intravenous antibiotics was successful in all patients. CONCLUSION: PLA is a rare diagnosis in children in the developed world. It may be caused by primary neutrophil disorders even in the absence of a previous history of infection. Co-existent appendicitis, intra-abdominal sepsis, and ascending pylephlebitis must be sought because these children are at risk of developing portal vein obstruction and portal hypertension. Prolonged intravenous antibiotic treatment guided by microbiologic sensitivities is highly effective.

Adolescent↗

Prediction of the risk of Torsade de Pointes using the model of isolated canine Purkinje fibres.

Torsade de Pointes (TdP) is a well-described major risk associated with various kinds of drugs. However, prediction of this risk is still uncertain both in preclinical and clinical trials. We tested 45 reference compounds on the model of isolated canine Purkinje fibres. Of them, 22 are clearly associated and/or labelled with a risk of TdP, and 13 others are drugs with published clinical evidence of QT prolongation, with only one or two exceptional cases of TdP. The 10 remaining drugs are without reports of TdP and QT prolongation. The relevance of different indicators such as APD(90) increase, reverse use dependency, action potential triangulation or effect on V(max) was evaluated by comparison with available clinical data. Finally, a complex algorithm called TDPscreen and based on two subalgorithms corresponding to particular electrophysiological patterns was defined. This latter algorithm enabled a clear separation of drugs into three groups: (A) drugs with numerous or several reports (>2 cases) of TdP, (B) drugs causing QT prolongation and/or TdP only, the latter at a very low frequency (< or =2 cases), (C) drugs without reports of TdP or QT prolongation. The use of such an algorithm combined with a database accrued from reference compounds with available clinical data is suggested as a basis for testing new candidate drugs in the early stages of development for proarrhythmic risk prediction.

Action Potentials↗

High accuracy prediction of beta-turns and their types using propensities and multiple alignments.

We have developed a method that predicts both the presence and the type of beta-turns, using a straightforward approach based on propensities and multiple alignments. The propensities were calculated classically, but the way to use them for prediction was completely new: starting from a tetrapeptide sequence on which one wants to evaluate the presence of a beta-turn, the propensity for a given residue is modified by taking into account all the residues present in the multiple alignment at this position. The evaluation of a score is then done by weighting these propensities by the use of Position-specific score matrices generated by PSI-BLAST. The introduction of secondary structure information predicted by PSIPRED or SSPRO2 as well as taking into account the flanking residues around the tetrapeptide improved the accuracy greatly. This latter evaluated on a database of 426 reference proteins (previously used on other studies) by a sevenfold crossvalidation gave very good results with a Matthews Correlation Coefficient (MCC) of 0.42 and an overall prediction accuracy of 74.8%; this places our method among the best ones. A jackknife test was also done, which gave results within the same range. This shows that it is possible to reach neural networks accuracy with considerably less computional cost and complexity. Furthermore, propensities remain excellent descriptors of amino acid tendencies to belong to beta-turns, which can be useful for peptide or protein engineering and design. For beta-turn type prediction, we reached the best accuracy ever published in terms of MCC (except for the irregular type IV) in the range of 0.25-0.30 for types I, II, and I' and 0.13-0.15 for types VIII, II', and IV. To our knowledge, our method is the only one available on the Web that predicts types I' and II'. The accuracy evaluated on two larger databases of 547 and 823 proteins was not improved significantly. All of this was implemented into a Web server called COUDES (French acronym for: Chercher Ou Une Deviation Existe Surement), which is available at the following URL: http://bioserv.rpbs.jussieu.fr/Coudes/index.html within the new bioinformatics platform RPBS.

Amino Acid Sequence↗

Matching references with MEDLINE via TCP/IP.

Bibliographic references are an important part of databases and information resources used by clinicians and biomedical researchers. In addition to the obvious clerical advantages of standard references, bibliographic references can also be used as links to related items in different data sets. This paper describes an effort that involved matching references from a variety of disparate databases to canonical MEDLINE references. The references matched were those involved in a database unification project which is part of the Mouse Genome Informatics effort at The Jackson Laboratory. Software was developed to take advantage of a commercially available retrieval engine which accesses MEDLINE on CD-ROM disks. The software permits client programs on UNIX/C, and potentially other environments, to access unabridged MEDLINE via networks supporting the TCP/IP protocols. The matching process described can be used as a model for similar efforts with different research or clinical data sets, as well as different hardware or software environments.

Animals↗

Diagnostic accuracy of 18F-fluorodeoxyglucose positron emission tomography in the follow-up of papillary or follicular thyroid cancer.

Positron emission tomography with 18F-fluorodeoxyglucose is a relatively new nuclear imaging technique in oncology. We conducted a systematic review to determine the diagnostic accuracy of 18F-fluorodeoxyglucose positron emission tomography in patients suspected of recurrent papillary or follicular thyroid carcinoma. Two reviewers independently selected, extracted, and assessed data from relevant literature found in computerized databases and by reference tracking. Prospective and retrospective studies with 10 human subjects, or more, that evaluated the accuracy of ring positron emission tomography, using 18F-fluorodeoxyglucose in follicular and papillary thyroid cancer, were included. Studies on 18F-fluorodeoxyglucose imaging using gamma cameras, reviews, case reports, editorials, letters, and comments were excluded. The methodological quality was assessed by applying the criteria for diagnostic tests recommended by the Cochrane Methods Group on Screening and Diagnostic Tests. A rating system was used for qualitative analysis consisting of four levels of evidence (1 = highest level; 4 = lowest level). Fourteen studies met the inclusion criteria. All studies claimed a positive role for positron emission tomography but, at evidence levels 3 or 4, precluding quantitative analysis. Methodological problems included poor validity of reference tests and a lack of blinding of test performance and interpretation. The reviewed material was heterogeneous with respect to patient variation and validation methodology. The most consistent data were found on the ability of 18F-fluorodeoxyglucose positron emission tomography to provide an anatomical substrate in patients with elevated serum Tg and negative iodine-131 scans. In conclusion, the results seem to support the potential of 18F-fluorodeoxyglucose positron emission tomography to identify and localize foci of recurrent cancer in the latter patient subset. However, implementation of positron emission tomography in a routine diagnostic algorithm requires additional evidence.

Adenocarcinoma, Follicular↗

Establishment of a root proteome reference map for the model legume Medicago truncatula using the expressed sequence tag database for peptide mass fingerprinting.

We have established a proteome reference map for Medicago truncatula root proteins using two-dimensional gel electrophoresis combined with peptide mass fingerprinting to aid the dissection of nodulation and root developmental pathways by proteome analysis. M. truncatula has been chosen as a model legume for the study of nodulation-related genes and proteins. Over 2,500 root proteins could be displayed reproducibly across an isoelectric focussing range of 4-7. We analysed 485 proteins by peptide mass fingerprinting, and 179 of those were identified by matching against the current M. truncatula expressed sequence tag (EST) database containing DNA sequences of approximately 105,000 ESTs. Matching the EST sequences to available plant DNA sequences by BLAST searches enabled us to predict protein function. The use of the EST database for peptide identification is discussed. The majority of identified proteins were metabolic enzymes and stress response proteins, and 44% of proteins occurred as isoforms, a result that could not have been predicted from sequencing data alone. We identified two nodulins in uninoculated root tissue, supporting evidence for a role of nodulins in normal plant development. This proteome map will be updated continuously (http://semele.anu.edu.au/2d/2d.html) and will be a powerful tool for investigating the molecular mechanisms of root symbioses in legumes.

Databases as Topic↗

Diagnosis-dependent misclassification of infections using administrative data variably affected incidence and mortality estimates in ICU patients.

OBJECTIVE: To determine the accuracy of hospital discharge diagnoses in identifying severe infections among intensive care unit (ICU) patients, and estimate the impact of misclassification on incidence and 1-year mortality. STUDY DESIGN AND SETTING: Sepsis, pneumonia, and central nervous system (CNS) infections among 7,615 ICU admissions were identified using ICD-9 and ICD-10 diagnoses from the Swedish hospital discharge register (HDR). Sensitivity, specificity, and likelihood ratios were calculated using ICU database diagnoses as reference standard, with inclusion in sepsis trials (IST) as secondary reference for sepsis. RESULTS: CNS infections were accurately captured (sensitivity 95.4% [confidence interval (CI)=86.8-100] and specificity 99.6% [CI=99.4-99.8]). Community-acquired sepsis (sensitivity 51.1% [CI=41.0-61.2] and specificity 99.4% [CI=99.2-99.6]) and primary pneumonia (sensitivity 38.2% [CI=31.2-45.2] and specificity 98.6% [CI=98.2-99.0]) were more accurately detected than sepsis and pneumonia in general. One-year mortality was accurately estimated for primary pneumonia but underestimated for community-acquired sepsis. However, there were only small differences in sensitivity and specificity between HDR and ICU data in the ability to identify IST. ICD-9 appeared more accurate for sepsis, whereas ICD-10 was more accurate for pneumonia. CONCLUSION: Accuracy of hospital discharge diagnoses varied depending on diagnosis and case definition. The pattern of misclassification makes estimates of relative risk more accurate than estimates of absolute risk.

Cause of Death↗

GRNContext: an interactive web platform for contextualized gene regulatory networks visualization across human cancers.

SUMMARY: While current Gene Regulatory Network (GRN) databases provide comprehensive reference maps of potential interactions between transcription factors and target genes, they do not specify which regulatory interactions are active within specific biological contexts. This limitation is particularly critical in cancer, where transcriptional programs are inherently tissue-specific. To address this gap, we developed GRNContext, an interactive web platform designed for the visualization, exploration, and comparative analysis of gene regulatory networks contextualized across 33 cancer types from The Cancer Genome Atlas (TCGA). Our approach uses the TFLink human reference GRN as a starting point and integrates TCGA transcriptomic profiles to infer cancer-specific regulatory activity. Regulatory relevance was assessed using complementary machine learning and statistical methods, which were unified into a consensus score to prioritize and filter the most relevant candidate regulators for each target gene. By providing both curated context-specific GRNs and a user-friendly platform, GRNContext constitutes a comprehensive and accessible resource that supports mechanistic investigations, hypothesis generation, and translational research focused on transcriptional regulation in cancer. AVAILABILITY AND IMPLEMENTATION: GRNContext is supported by all major browsers and freely available on the web at https://apps.cienciavida.org/grncontext. It is implemented as a client-server web application featuring a FastAPI backend and a React frontend utilizing Cytoscape.js for interactive network visualization, all containerized via Docker for cross-platform compatibility.

Humans↗

Do mucosal defensive agents improve the cure rate when used with dual or triple therapy regimens for eradicating Helicobacter pylori infection?

BACKGROUND: Some of mucosal defensive agents have anti-Helicobacter pylori activities. However, their effectiveness in eradicating H. pylori infection has not been evaluated. AIM: To assess the additive effect of mucosal defensive agents in eradication regimens using statistical analysis. METHODS: Pertinent studies were retrieved using the Medline and the Igaku-chuo-zasshi databases in Japan, reference and congress abstract lists. Studies in which regimens consisted of dual or triple therapy with mucosal defensive agents and without them, were selected from the retrieved studies. Eradication rates were extracted from studies according to intention-to-treat analysis. We evaluated the efficacies of mucosal defensive agents by pooled relative risk of eradication rates and its 95% confidence intervals (95% CI), which were calculated by Mantel-Haenszel method. Heterogeneity among the studies in treatment effect was evaluated by a chi2-test. RESULTS: In dual therapy regimens, mucosal defensive agents demonstrated significant additive effects (pooled relative risk 1.41; 95% CI: 1.24-1.61). In triple therapy regimens, these agents did not provide significant additive effect. The clinical usefulness of specific agents could not be established, when each agent was analysed independently. CONCLUSIONS: Mucosal defensive agents improve the cure rate when used with existing dual therapy regimens for eradicating H. pylori infection.

Anti-Ulcer Agents↗