Recently, an event occurred which was considered the “Most significant contribution AI has made to advancing scientific knowledge to date.” This event provided so much to human knowledge about the brain. People have been striving to comprehend how our own minds work for the longest time.
AlphaFold is an AI system used to predict protein structure in the proteome of the human brain. And on July 22, 2021, a company called DeepMind released the most in depth and closest to complete mapping of over 350,000 protein structure predictions.
While this is the most accurate and detailed picture that we have seen to date of the proteome, there is still much more work to be done. DeepMind has partnered with the European Molecular Biology Laboratory, named “Europe’s flagship laboratory for the life sciences,” to continue their work through AlphaFold, and attempt to cover all proteins expressed in the human genome, which amount to roughly 20,000.
This new partnership will result in many new scientific discoveries, and these results will be released to the public. This new venture will take the future of AI and brain study to the next level.
AlphaFold was recognized back in December of 2020, and was co nsidered a huge breakthrough for protein structure prediction. Its database calls on previous research conducted by scientists of the past, and uses its machine learning abilities to expand on their ideas.
“Our goal at DeepMind has always been to build AI and then use it as a tool to help accelerate the pace of scientific discovery itself, thereby advancing our understanding of the world around us,” said DeepMind Founder and CEO Demis Hassabis, PhD. “We used AlphaFold to generate the most complete and accurate picture of the human proteome. We believe this represents the most significant contribution AI has made to advancing scientific knowledge to date, and is a great illustration of the sorts of benefits AI can bring to society.”
AlphaFold is shaping our understanding of how proteins interact and structure themselves in the brain. Once we reach a complete mapping of the brain, who knows what new things we will discover?