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Guide to my blog articles on AlphaFold
Summary of my Towards Data Science articles discussing the most important developments ever since AlphaFold 2’s code and papers were released.
Since the Nature paper on AlphaFold 2 and its code came out in July 2021, other works have quickly developed along various lines: from programs to run AlphaFold easily, to databases based on its predictions, evaluations of its potential and capabilities, subsequent protein modeling methods from other groups and from Deepmind itself, etc. Here’s a small guide to my articles at TDS Editors.
A quick search for “alphafold” on Google Trends shows a small peak by late 2018 when the AlphaFold 1 was presented in CASP13; and then a high peak in late 2020 when AlphaFold 2 was presented in CASP14 followed by a lower but broader peak when the paper and code were released in July 2021. Clearly, this last peak hasn’t yet dropped to zero even after three months, and this is due to the various sources of new material on AlphaFold, essentially in the form of Twitter discussions and research preprints, some already peer-reviewed papers.
