Recently, on the 30th of November, 2020, a new milestone in Protein Research was achieved when the results of the 14th biennial Critical Assessment of Protein Structure Prediction (CASP) challenge were announced. AlphaFold – a program developed by DeepMind, an Artificial Intelligence research lab affiliated with Google and its parent company was successful in predicting protein structure from its amino acid sequence comparable with the experimental results with a GDT score of 92.4.
Medicine and healthcare are two of the most important components of our lives. Traditionally, medicine and medical advice was given solely by the doctors based on the patient’s symptoms. However, this was not always accurate and was prone to errors. With the advancements in the field of data science, it is now possible to obtain a more accurate diagnosis. The AI is being used not only as a tool for diagnosis but also for break through discoveries. In a latest advancement Google has achieved a huge success in unfolding protein structures. The very core of the problem that many biologist were trying to solve from many decades!
Are you dealing with large sets of data that do not make real sense to the human eye?
Are you currently using some tools to sort and analyze your data but still struggling and thus looking for a viable alternative?
Have you been told that the buzzwords of machine learning, artificial intelligence or the Internet of Things could solve a problem that you are faced with today?
Are you very much fascinated by this new avenue seen all over the internet, but taking the first steps seem too daunting to make any real progress?
Do you believe that, trust is good but evidence is better?