2024
DOI: 10.1038/s41467-024-51071-9
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Post-translational modification prediction via prompt-based fine-tuning of a GPT-2 model

Palistha Shrestha,
Jeevan Kandel,
Hilal Tayara
et al.

Abstract: Post-translational modifications (PTMs) are pivotal in modulating protein functions and influencing cellular processes like signaling, localization, and degradation. The complexity of these biological interactions necessitates efficient predictive methodologies. In this work, we introduce PTMGPT2, an interpretable protein language model that utilizes prompt-based fine-tuning to improve its accuracy in precisely predicting PTMs. Drawing inspiration from recent advancements in GPT-based architectures, PTMGPT2 ad… Show more

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