Now, a team of researchers based at the Massachusetts Institute of Technology (the United States) has tried to shed light on the inner workings of the language models that predict the structure and function of proteins by using an innovative technique. They have described their findings in the study, ‘Sparse autoencoders uncover biologically interpretable features in protein language model representations’, which was published in the journal Proceedings of the National Academy of Sciences last month. The team included Onkar Gujral, Mihir Bafna, Eric Alm, and Bonnie Berger.
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Berger, the senior author of the study, told The Indian Express over email, “This is the first work that allows us to look inside the ‘black box’ of protein language models to gain insights into why they function as they do.”