Towards the explainability of protein language models | Nature Machine Intelligence

Hunklinger and Ferruz provide an overview of explainable artificial intelligence methods for protein language models.

References Casheekar, A., Lahiri, A., Rath, K., Prabhakar, K. S. & Srinivasan, K. A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: applications, open challenges and future research directions. Comput. Sci. Rev. 52, 100632 (2024). Article Google Scholar Huang, K., Xiao, C., Glass, L. M. & Sun, J. MolTrans: molecular interaction transformer for drug–target interaction prediction. Bioinformatics 37, 830–836 (2021). Article Google Scholar Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630,…

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