<ul><li>Predicting and modeling protein sequences efficiently is a challenge in biotechnology and medicine.</li><li>Using techniques inspired by natural language processing, researchers apply sequence modeling to protein sequences.</li><li>A simple LSTM-based language model trained on short protein chains shows the ability of small models to learn biochemical patterns and generate plausible protein sequences.</li><li>Next-token prediction frameworks provide a practical and scalable approach for protein modeling, useful in protein design, mutation prediction, and therapeutic innovation.</li></ul>

Decoding Life One Sequence at a Time: A Practitioner’s Dive into Protein Prediction

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