Data stored and analyzed within ProteomicsDB can be used in basic and biomedical research for discovering therapeutic targets and developing new drugs as well as enhanced diagnosis methods.

As personalized medicine is on the rise, the healthcare field is discovering the opportunities of big data analysis. The result of a joint project between the TUM Chair of Proteomics and Bioanalytics, SAP and the SAP Innovation Center, ProteomicsDB is a major step forward in human proteomics. It currently contains more than 11,000 datasets from human cancer cell lines, tissues and body fluids and enables real-time analysis of this highly dimensional data and creates instant value by allowing to test analytical hypothesis.

ProteomicsDB is based on the SAP HANA for rapid data mining and visualization. It has been built to enable public sharing of mass spectrometry-based proteomic datasets as well as to allow users to access and review data prior to publication. The database is backed with 50 TB of storage, 2 TB RAM and 160 processing units. A direct interface to the programming languages L, C++ and R allows more flexible calculations than are possible with standard SQL. The Web interface is built on a JavaScript framework for HTML5 and optimized for Google Chrome but also available under Internet Explorer and Mozilla Firefox. An easy-to-use and fast Web interface allows users to browse and upload data to the repository as well as browsing the human proteome, including protein level information such as protein function and expression.

ProteomicsDB will be available free of charge. The database will be a valuable asset for researchers in the field of life sciences as well as for the pharmaceutical and biotechnology industry. Insights from analyzing the inherent datasets can be used in biomedical research and for example in developing new drugs that operate in a more targeted way without adversely influencing other cellular processes, helping to reduce side effects.

"The vast amounts of molecular data generated in biomedical research increasingly challenge the ability of scientists to see the forest for the trees," said Prof. Dr. Bernhard Kuster of TUM. "ProteomicsDB is a significant step ahead in our research aiming at a better understanding of human disease and more informed future treatments. The software helps us and others to store, integrate and analyze experimental data in real time, allowing us to study more complex biological systems at greater depth than previously possible."

For further information, please visit:
https://www.proteomicsdb.org

Related news articles:

• SAP for Healthcare's Profile

About TUM
Technische Universität München (TUM) is one of Europe’s leading universities. It has roughly 500 professors, 9,000 academic and non-academic staff, and 32,000 students. It focuses on the engineering sciences, natural sciences, life sciences, medicine, and economic sciences. After winning numerous awards, it was selected as an "Excellence University" in 2006 and 2012 by the Science Council (Wissenschaftsrat) and the German Research Foundation (DFG). In both international and national rankings, TUM is rated as one of Germany's top universities and is dedicated to the ideal of a top-level research-oriented entrepreneurial university. The university's global presence includes offices in Beijing (China), Brussels (Belgium), Cairo (Egypt), Mumbai (India) and São Paulo (Brazil). The German Institute of Science and Technology (GIST - TUM Asia), founded in 2002 in Singapore, is the first research campus of a German university abroad.

About SAP
As market leader in enterprise application software, SAP (NYSE: SAP) helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device - SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable more than 238,000 customers to operate profitably, adapt continuously, and grow sustainably.