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Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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At least 1,423 records · Page 79Linked to original sources
PubMed2005

Developing an oncology portfolio of anticancer drugs: the experience of one pharmaceutical company.

For a company or institute that wishes to develop new anti-cancer agents, it is necessary to establish a portfolio of agents to reduce the risk of failure. Success rates for developing new agents are low and therefore different biological effect areas should be explored to ensure that at least one agent targeting cancer or a specific histological sub-type of cancer is effectively developed. This paper describes how one pharmaceutical company has developed a range of different agents with the ultimate aim of developing as many of these as is technically feasible into useful new medicines for the treatment of cancer.

Angiogenesis Inhibitors↗
PubMed1990

[Terminology of ultrasonic vascular diagnosis].

There is at present no accepted nomenclature regarding diagnostic vascular ultrasound. At two scientific meetings, the Study Group for Vascular Diagnosis of the German Society of Ultrasound in Medicine (DEGUM) developed a terminology for Doppler and duplex sonography of the arteries and veins supplying the brain and of peripheral vessels. The most important of these sonographic terms and their synonyms are presented. Recommendations as to which of the presently employed terms should be avoided, are given.

Brain↗
PubMed2003

Extraction of protein interaction information from unstructured text using a context-free grammar.

MOTIVATION: As research into disease pathology and cellular function continues to generate vast amounts of data pertaining to protein, gene and small molecule (PGSM) interactions, there exists a critical need to capture these results in structured formats allowing for computational analysis. Although many efforts have been made to create databases that store this information in computer readable form, populating these sources largely requires a manual process of interpreting and extracting interaction relationships from the biological research literature. Being able to efficiently and accurately automate the extraction of interactions from unstructured text, would greatly improve the content of these databases and provide a method for managing the continued growth of new literature being published. RESULTS: In this paper, we describe a system for extracting PGSM interactions from unstructured text. By utilizing a lexical analyzer and context free grammar (CFG), we demonstrate that efficient parsers can be constructed for extracting these relationships from natural language with high rates of recall and precision. Our results show that this technique achieved a recall rate of 83.5% and a precision rate of 93.1% for recognizing PGSM names and a recall rate of 63.9% and a precision rate of 70.2% for extracting interactions between these entities. In contrast to other published techniques, the use of a CFG significantly reduces the complexities of natural language processing by focusing on domain specific structure as opposed to analyzing the semantics of a given language. Additionally, our approach provides a level of abstraction for adding new rules for extracting other types of biological relationships beyond PGSM relationships. AVAILABILITY: The program and corpus are available by request from the authors.

Algorithms↗
PubMed2004

GAPSCORE: finding gene and protein names one word at a time.

MOTIVATION: New high-throughput technologies have accelerated the accumulation of knowledge about genes and proteins. However, much knowledge is still stored as written natural language text. Therefore, we have developed a new method, GAPSCORE, to identify gene and protein names in text. GAPSCORE scores words based on a statistical model of gene names that quantifies their appearance, morphology and context. RESULTS: We evaluated GAPSCORE against the Yapex data set and achieved an F-score of 82.5% (83.3% recall, 81.5% precision) for partial matches and 57.6% (58.5% recall, 56.7% precision) for exact matches. Since the method is statistical, users can choose score cutoffs that adjust the performance according to their needs. AVAILABILITY: GAPSCORE is available at http://bionlp.stanford.edu/gapscore/

Abstracting and Indexing↗
PubMed2005

SuperDrug: a conformational drug database.

MOTIVATION: Different resources exist for experimentally determined and computed three-dimensional (3D)-structures of low molecular weight structures but for approved drugs, no free, publicly accessible source of 3D-structures and conformers is available. Furthermore, for selection purposes or for correlation of structural similarity with medical application, the assignment of the Anatomical Therapeutic Chemical (ATC) classification codes to each structure according to the WHO-scheme would be desirable. RESULTS: The database contains approximately 2500 3D-structures of active ingredients of essential marketed drugs. To account for structural flexibility they are represented by 10(5) structural conformers. Here we present a web-query system enabling searches for drug name, synonyms, trade name, trivial name, formula, CAS-number, ATC-code etc. 2D-similarity screening (Tanimoto coefficients) and an automatic 3D-superposition procedure based on conformational representation are implemented. Drug structures above a similarity threshold as well as superimposed conformers can be retrieved in the mol- file format via a graphical interface. AVAILABILITY: For academic use the system is accessible at http://bioinf.charite.de/superdrug. The retrieval system requires the free browser-plugin 'chime' from MDL for visualization.

Computer Graphics↗
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

WHO Health Promotion Glossary: new terms.

The WHO Health Promotion Glossary was written to facilitate understanding, communication and cooperation among those engaged in health promotion at the local, regional, national and global levels. Two editions of the Glossary have been released, the first in 1986 and the second in 1998, and continued revision of the document is necessary to promote consensus regarding meanings and to take account of developments in thinking and practice. In this update 10 new terms that are to be included in the Glossary are presented. Criteria for the inclusion of terms in the Glossary are that they differentiate health promotion from other health concepts, or have a specific application or meaning when used in relation to health promotion. The terms defined here are: burden of disease; capacity building; evidence-based health promotion; global health; health impact assessment; needs assessment; self-efficacy; social marketing; sustainable health promotion strategies, and; wellness. WHO will continue to periodically update the Health Promotion Glossary to ensure its relevance to the international health promotion community.

Cost of Illness↗
PubMed1992

A dose of salts.

Explore the source record for details and available documents.

Salts↗
PubMedDate not supplied

Tracking clinical use of personal digital assistant reference resources.

Mechanisms are needed to evaluate the effectiveness of ever-increasing technological resources for nursing student use. The authors tracked the use of personal digital assistants versus textbook resources by junior-level baccalaureate nursing students throughout 1 semester. The authors discuss the results of that activity and provide a starting point for the evaluation of the use of personal digital assistants by nursing students.

Attitude of Health Personnel↗