Cancer Research UK has launched canSAR database program in 2011, the purpose of the researchers is to use big data approach to building a detailed picture, help clarify the main elements of known human behavior and mechanism of action. The database compiled billions of experimental measurement data, which can draw one million kinds of drugs and a variety of human proteins of chemicals, and will also genetic information data with results of clinical trials for the perfect combination.
The updated canSAR database will use artificial intelligence to identify the shortcomings and mistakes of cancer cell surface, so as to develop specific drugs to block cancer provides a guideline, and updated database will also help researchers to identify tumor cells inside the AC line, for the development of new cancer therapies or individual will bring some help; and constantly updated database also contains 3 million 3D structure of the cavity is approximately 110,000 molecular surface. Researchers Bissan Al-Lazikani said, our database is constantly updated to increase the information, and is now the world's largest relational database.
Under normal circumstances we will develop a new type of artificial intelligence techniques to help scientists predict and design of experiments, the purpose is to help researchers use reliable data to make more valuable cancer research. Researchers now need to find all the information and errors related gene or protein, so that you can more clearly understand whether a new drug can function properly, these data unusually large and scattered, but create and update the database for the global canSAR scientists provide more valuable clues.
Paul Workman, Chief Executive Officer London Cancer Institute noted, canSAR database that we use big data to understand and effective in the treatment of cancer is very important in the whole scheme of an integral part of, the latest research has greatly enhanced the content of the database to Screening can be used to help researchers develop new cancer drugs may be the best potential targets, and help scientists develop more rapid and effective innovative medicines.
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