IBM cloud lab can design new compounds remotely with 90percent accuracy

category:Internet
 IBM cloud lab can design new compounds remotely with 90percent accuracy


Science and technology daily, Beijing, September 1 (according to the recent MIT Technology Review website, IBM has established a cloud based pharmaceutical laboratory called roborxn. The lab uses artificial intelligence models, cloud computing platforms and robotics to design and synthesize new molecules at home.

In the process of use, scientists only need to log in to the online platform on the browser to enter the laboratory; draw the skeleton structure of the molecules to be manufactured on a blank canvas, and the platform will predict the required components and the mixing order through machine learning; then, the platform will send instructions to the robot in the remote laboratory to carry out the process; the experiment is completed After that, the platform will send the results report to the scientists.

The development of this technology began three years ago, when IBM began to use machine learning models to predict chemical reactions. After several months of internal research and development, the company released this application service in the IBM cloud for free in August 2018, and received unexpected feedback. After that, IBM refined and optimized it. Until today, two years later, robornx still ranks first in AI technology for chemical reaction prediction based on data processing with 90% accuracy, and has provided more than 760000 machine learning chemical reaction predictions for 15000 users.

Now, the establishment of cloud laboratory provides great convenience for scientists to develop new drugs. Using traditional methods, it takes an average of 10 years for new drugs and materials to be developed and put into the market, as well as a high cost of US $10 million, and a large amount of time is devoted to the painstaking trial and error synthesis of new substances. IBM hopes that platforms like roborxn will significantly speed up the process of inferring the composition of drugs and conducting automated experiments. In theory, this will reduce the cost of drug research and development, and enable scientists to respond more quickly to public health crises such as the new outbreak, and avoid delaying laboratory research due to social isolation.

In fact, IBM is not the only company that hopes to use artificial intelligence and robotics to accelerate the chemical synthesis process. Many academic laboratories and entrepreneurs are working towards this common goal. IBMs platform allows users to remotely submit molecular models and receive analytical reports during molecular synthesis.

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