World's largest cancer database launched

Image
Press Trust of India London
Last Updated : Nov 18 2013 | 5:56 PM IST
The world's largest cancer database - containing 1.7 billion experimental results - has been launched, with an aim to discover future treatments for the deadly disease.
The system, called CanSAR, is the biggest disease database of its kind anywhere in the world and condenses more data than would be generated by one million years of use of the Hubble space telescope.
It contains more than eight million experimentally derived measurements, nearly one million biologically active chemical compounds and data from over a thousand cancer cell lines.
The database will utilise artificial intelligence similar to the technology used to predict the weather to predict which potential drugs are likely to work in which circumstances.
The new CanSAR database developed by researchers at The Institute of Cancer Research, London, is more than double the size of a previous version and has been designed to cope with a huge expansion of data on cancer brought about by advances in DNA sequencing and other technologies.
The resource is being made freely available by The Institute of Cancer Research (ICR) and Cancer Research UK, and will help researchers worldwide make use of vast quantities of data, including data from patients, clinical trials and genetic, biochemical and pharmacological research.
Although the prototype of CanSAR was on a much smaller scale, it attracted 26,000 unique users in more than 70 countries around the world, and earlier this year was used to identify 46 potentially "druggable" cancer proteins that had previously been overlooked.
The new database will drive further dramatic advances in drug discovery by allowing researchers access to, and the ability to interact with, unprecedented amounts of multidisciplinary data in seconds.
CanSAR contains drug target information from the human genome and model organisms. Research that had previously taken months to complete will now take only minutes.
"The database is capable of extraordinarily complex virtual experiments drawing on information from patients, genetics, chemistry and other laboratory research. It can spot opportunities for future cancer treatments that no human eye could be expected to see," Dr Bissan Al-Lazikani, Team Leader in Computational Biology and Chemogenomics at the ICR, said.
"This is an extraordinary time for cancer research, as advances in scientific techniques open up new possibilities and generate unprecedented amounts of data. Our aim is to make this wealth of information, coming from both the clinic and from the laboratory, freely available in a very user-friendly form to as many people as possible," Professor Paul Workman, Deputy Chief Executive of the ICR, said.
*Subscribe to Business Standard digital and get complimentary access to The New York Times

Smart Quarterly

₹900

3 Months

₹300/Month

SAVE 25%

Smart Essential

₹2,700

1 Year

₹225/Month

SAVE 46%
*Complimentary New York Times access for the 2nd year will be given after 12 months

Super Saver

₹3,900

2 Years

₹162/Month

Subscribe

Renews automatically, cancel anytime

Here’s what’s included in our digital subscription plans

Exclusive premium stories online

  • Over 30 premium stories daily, handpicked by our editors

Complimentary Access to The New York Times

  • News, Games, Cooking, Audio, Wirecutter & The Athletic

Business Standard Epaper

  • Digital replica of our daily newspaper — with options to read, save, and share

Curated Newsletters

  • Insights on markets, finance, politics, tech, and more delivered to your inbox

Market Analysis & Investment Insights

  • In-depth market analysis & insights with access to The Smart Investor

Archives

  • Repository of articles and publications dating back to 1997

Ad-free Reading

  • Uninterrupted reading experience with no advertisements

Seamless Access Across All Devices

  • Access Business Standard across devices — mobile, tablet, or PC, via web or app

More From This Section

First Published: Nov 18 2013 | 5:56 PM IST

Next Story