SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

The power of the web in cancer drug discovery and clinical trial design: research without a laboratory?

Galustian, C; Dalgleish, AG (2010) The power of the web in cancer drug discovery and clinical trial design: research without a laboratory? Cancer Inform, 9. 31 - 35.
SGUL Authors: Dalgleish, Angus George

[img]
Preview
["document_typename_application/pdf; charset=binary" not defined] Published Version
Download (470kB) | Preview

Abstract

The discovery of effective cancer treatments is a key goal for pharmaceutical companies. However, the current costs of bringing a cancer drug to the market in the USA is now estimated at $1 billion per FDA approved drug, with many months of research at the bench and costly clinical trials. A growing number of papers highlight the use of data mining tools to determine associations between drugs, genes or protein targets, and possible mechanism of actions or therapeutic efficacy which could be harnessed to provide information that can refine or direct new clinical cancer studies and lower costs. This report reviews the paper by R.J. Epstein, which illustrates the potential of text mining using Boolean parameters in cancer drug discovery, and other studies which use alternative data mining approaches to aid cancer research.

Item Type: Article
Additional Information: PMCID: PMC2834378
Keywords: cancer, clinical trials, data mining, drug discovery
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Cancer Inform
Dates:
DateEvent
2010Published
PubMed ID: 20234771
Web of Science ID: 20234771
Download EPMC Full text (PDF)
Download EPMC Full text (HTML)
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/578

Actions (login required)

Edit Item Edit Item