Basecamp Research claims that its software platform can enhance the prediction of protein behavior by utilizing higher-quality data instead of better algorithms. The release of Google's AlphaFold algorithm in 2018 revolutionized the biology field by accurately predicting protein structures. However, AlphaFold has certain limitations despite its significant contributions to biotech research.
Basecamp Research says its software platform can better predict the way proteins behave — not with better algorithms, but with higher-quality data.2018, Google’s AI lab Deepmind released an algorithm that took the biology world by storm. Called AlphaFold, the software was able to accurately predict protein structures — a complex problem that was heralded as a major scientific breakthrough .
Understanding how proteins interact is key to understanding everything in biotech from how to make food taste better to how to make crops survive climate change to curing cancer. Since its release, AlphaFold, its successor AlphaFold2 and the hundreds of millions of protein structures it has generated over the past few years have become a key part of the toolkit of biotech researchers around the world. But while AlphaFold has helped propel the industry forward, it has its own set of limitation
Basecamp Research Software Platform Protein Behavior Prediction Algorithms Data Alphafold Scientific Breakthrough Biotech Research
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