New Web Portal for Drug Discovery

The GRANATUM web portal is now online, ready to connect biomedical researchers. The public GRANATUM IT platform provides access to information about cancer research and established pharmaceutical agents from 83 global data sources in an integrated, semantically interlinked manner. Researchers can now use the portal to socially interact and cooperate, build and share hypotheses, search databases, design and execute in-silico experiments to screen potential chemoprevention drugs ahead of in-vitro and in-vivo test.

The European GRANATUM project started two years ago. Its mission is to build a collaboration platform for biomedical researchers in the field of cancer drug research. Version 1.0 of this web portal is now on-line at www.granatum.org. It provides access to the globally available biomedical knowledge and data resources that the scientists need to prepare complex experiments to identify novel agents for cancer prevention and to design experimental studies. This will accelerate research and reduce its costs.

Scientists from universities, research institutes and pharmaceutical companies are invited to use the GRANATUM Platform to share their knowledge and cooperatively generate expertise and experimental data, thus producing research results faster. Based on the GRANATUM Biomedical Semantic Model researchers can semantically annotate, manage and access biomedical resources, e.g. public databases, digital libraries and archives, online communities and discussions.

A Scientific Workflow Management System for biomedical experts provides a set of advanced tools to create, update, store, and share in-silico modeling experiments for the discovery of new chemopreventive agents.

"The GRANATUM Portal will socially connect biomedical research across national boundaries, ease scientific exchange and, for the first time, allow collaboration in formulating hypotheses and testing potential drugs", explains Prof. Wolfgang Prinz, the coordinator of the GRANATUM project and deputy director of the Fraunhofer Institute for Applied Information Technology FIT.

The GRANATUM Portal is based on the BSCW Shared Workspace System developed by Fraunhofer FIT and OrbiTeam Software GmbH (www.bscw.de). It was designed and built in the GRANATUM project as "A Social Collaborative Working Space Semantically Interlinking Biomedical Researchers, Knowledge And Data For The Design And Execution Of In-Silico Models And Experiments In Cancer Chemoprevention", partially funded by the European Commission. The GRANATUM consortium includes seven partners: National University of Ireland Galway (NUIG-DERI), Cybion Srl. (Italy), Centre for Research and Technology Hellas (Greece), University of Cyprus (UCY/CBC and UCY/CS), German Cancer Research Center (DKFZ), UBITECH (Greece), and Fraunhofer FIT acting as project coordinator.

For further information, please visit:
http://www.granatum.org

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...