Grid technology to help European cancer research project

The recently launched CancerGrid Project will bring together partners from industry and academia in the first ever large scale application of computer grid technology for finding and developing new anti-cancer agents.

The three-year multidisciplinary research programme funded by the EU will aim to combine new technologies with biology to enrich molecular libraries and increase the likelihood of discovering potential drugs to treat cancer.

"This innovative project utilizes grid-based computing technology for the automated design of chemical libraries, with the goal of discovering potential cancer treatments," said Michael Guaciaro, Ph.D., president and managing director of AMRI, one of the industrial partners in the project.

The project will employ the resources of grid computing to allow the researchers to tap into a powerful network of interconnected workstations able to process large amounts of data and reduce computational time.

Cancer affects millions of people and accounts for 13% of deaths around the world, according to the World Health Organization.

In the human genome, there is an estimated subset of approximately 3,000 genes that encode proteins, including novel cancer-related targets, which could be regulated with drug-like molecules.

The partners in the project will work towards developing specific chemical compound collections ('focused' chemical libraries) that interact with these cancer proteins.

"Our goal is to develop methods for creating chemical libraries containing molecules active against the newly emerging cancer targets," explained Gyorgy Dorman, head of science and technology at AMRI.

"The use of grid-aided technology should substantially increase both the likelihood of finding novel anti-cancer lead compounds, as well as increase the translation of basic knowledge into the application stage," he added.

This project is also expected to produce and validate a technology for in-silico design of chemical libraries and models that predict toxicity and target specificity. Once developed, these libraries will in theory be applicable to any drug discovery project.

For further information, please visit:
http://www.cancergrid.eu

Copyright ©European Communities, 2007
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

European Artificial Intelligence Act Com…

The European Artificial Intelligence Act (AI Act), the world's first comprehensive regulation on artificial intelligence, enters into force. The AI Act is designed to ensure that AI developed and used...

Generative AI can Not yet Reliably Read …

It may someday be possible to use Large Language Models (LLM) to automatically read clinical notes in medical records and reliably and efficiently extract relevant information to support patient care...

Patient Safety must be Central to the De…

An EPR system brings together different patient information in one place, making it easier to access for healthcare professionals. This information can include patients' own notes, test results, observations by...

AI can Help Rule out Abnormal Pathology …

A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a...

ChatGPT Shows Promise in Answering Patie…

The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the September issue of Urology Practice®...

Survey: Most Americans Comfortable with …

Artificial intelligence (AI) is all around us - from smart home devices to entertainment and social media algorithms. But is AI okay in healthcare? A new national survey commissioned by...

What Does the EU's Recent AI Act Me…

The European Union's law on artificial intelligence came into force on 1 August. The new AI Act essentially regulates what artificial intelligence can and cannot do in the EU. A...

AI Spots Cancer and Viral Infections at …

Researchers at the Centre for Genomic Regulation (CRG), the University of the Basque Country (UPV/EHU), Donostia International Physics Center (DIPC) and the Fundación Biofisica Bizkaia (FBB, located in Biofisika Institute)...

Video Gaming Improves Mental Well-Being

A pioneering study titled "Causal effect of video gaming on mental well-being in Japan 2020-2022," published in Nature Human Behaviour, has conducted the most comprehensive investigation to date on the...

New Diabetes Research Links Blood Glucos…

As part of its ongoing exploration of vocal biomarkers and the role they can play in enhancing health outcomes, Klick Labs published a new study in Scientific Reports - confirming...

New AI Software could Make Diagnosing De…

Although Alzheimer's is the most common cause of dementia - a catchall term for cognitive deficits that impact daily living, like the loss of memory or language - it's not...

Machine learning helps identify rheumato…

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to...