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

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...