Biomedical subjects

Vetle I Torvik

Publications and source records attributed to Vetle I Torvik.

7 recordsLinked to original sources

PubMed2006

ADAM: another database of abbreviations in MEDLINE.

MOTIVATION: Abbreviations are an important type of terminology in the biomedical domain. Although several groups have already created databases of biomedical abbreviations, these are either not public, or are not comprehensive, or focus exclusively on acronym-type abbreviations. We have created another abbreviation database, ADAM, which covers commonly used abbreviations and their definitions (or long-forms) within MEDLINE titles and abstracts, including both acronym and non-acronym abbreviations. RESULTS: A model of recognizing abbreviations and their long-forms from titles and abstracts of MEDLINE (2006 baseline) was employed. After grouping morphological variants, 59 405 abbreviation/long-form pairs were identified. ADAM shows high precision (97.4%) and includes most of the frequently used abbreviations contained in the Unified Medical Language System (UMLS) Lexicon and the Stanford Abbreviation Database. Conversely, one-third of abbreviations in ADAM are novel insofar as they are not included in either database. About 19% of the novel abbreviations are non-acronym-type and these cover at least seven different types of short-form/long-form pairs. AVAILABILITY: A free, public query interface to ADAM is available at http://arrowsmith.psych.uic.edu, and the entire database can be downloaded as a text file.

Animals↗

PubMed2006

Alu elements within human mRNAs are probable microRNA targets.

Recently, we reported that four microRNAs show perfect complementarity with MIR/LINE-2 elements within human mRNAs. This finding raises the question of whether microRNAs might also target other genomic repeats and transposable elements. Here, we demonstrate that almost 30 human microRNAs exhibit typical short-seed complementarity with a specific site within Alu elements that is highly conserved within 3' untranslated regions of human mRNAs. The results suggest that at least some Alu elements within human mRNAs serve as microRNA targets.

3' Untranslated Regions↗

PubMed2006

Collaborative development of the Arrowsmith two node search interface designed for laboratory investigators.

Arrowsmith is a unique computer-assisted strategy designed to assist investigators in detecting biologically-relevant connections between two disparate sets of articles in Medline. This paper describes how an inter-institutional consortium of neuroscientists used the UIC Arrowsmith web interface http://arrowsmith.psych.uic.edu in their daily work and guided the development, refinement and expansion of the system into a suite of tools intended for use by the wider scientific community.

Journal Article↗

PubMed2006

Complications in mammalian microRNA target prediction.

In this chapter, we review evidence that at least three different types of microRNA (miRNA)-messenger RNA (mRNA) target interactions exist in mammals: short seeds, long seeds, and "perfect" hits (allowing G:U matches). Because new types of miRNAs are still being discovered, this list may not yet be complete.

3' Untranslated Regions↗

PubMed2005

Mammalian microRNAs derived from genomic repeats.

In this article, we show that a subset of conventional mammalian microRNAs is derived from LINE-2 transposable elements and other genome repeats. These repeat-derived microRNAs arise from conventional precursor hairpins and are distinct from the rasiRNAs, which appear to be processed from long double-stranded RNA precursors. The insertion of transposable elements into new genomic sites appears to be one of the driving-forces that create new microRNAs during mammalian evolution. Two of the LINE-2-derived microRNAs exhibit perfect complementarity to a large family of mRNA and EST transcripts that contain portions of MIR and other LINE-2 elements in their 3'-untranslated regions.

Animals↗

PubMed2004

A population-based statistical approach identifies parameters characteristic of human microRNA-mRNA interactions.

BACKGROUND: MicroRNAs are approximately 17-24 nt. noncoding RNAs found in all eukaryotes that degrade messenger RNAs via RNA interference (if they bind in a perfect or near-perfect complementarity to the target mRNA), or arrest translation (if the binding is imperfect). Several microRNA targets have been identified in lower organisms, but only one mammalian microRNA target has yet been validated experimentally. RESULTS: We carried out a population-wide statistical analysis of how human microRNAs interact complementarily with human mRNAs, looking for characteristics that differ significantly as compared with scrambled control sequences. These characteristics were used to identify a set of 71 outlier mRNAs unlikely to have been hit by chance. Unlike the case in C. elegans and Drosophila, many human microRNAs exhibited long exact matches (10 or more bases in a row), up to and including perfect target complementarity. Human microRNAs hit outlier mRNAs within the protein coding region about 2/3 of the time. And, the stretches of perfect complementarity within microRNA hits onto outlier mRNAs were not biased near the 5'-end of the microRNA. In several cases, an individual microRNA hit multiple mRNAs that belonged to the same functional class. CONCLUSIONS: The analysis supports the notion that sequence complementarity is the basis by which microRNAs recognize their biological targets, but raises the possibility that human microRNA-mRNA target interactions follow different rules than have been previously characterized in Drosophila and C. elegans.

Computational Biology↗

PubMed2003

A probabilistic similarity metric for Medline records: a model for author name disambiguation.

We present a model for automatically generating training sets and estimating the probability that a pair of Medline records sharing a last and first name initial are authored by the same individual, based on shared title words, journal name, co-authors, medical subject headings, language, and affiliation, as well as distinctive features of the name itself (i.e., presence of middle initial, suffix, and prevalence in Medline).

Authorship↗