Biology

ProtGPT2 is a deep unsupervised language model for protein design

N. Ferruz, S. Schmidt, et al.

Discover ProtGPT2, a groundbreaking language model developed by Noelia Ferruz, Steffen Schmidt, and Birte Höcker, that generates innovative protein sequences. These novel sequences maintain natural amino acid preferences and emerge from previously unexplored protein spaces, yielding well-folded structures of unique complexities. Rapid generation and public accessibility make this a significant advancement in protein research.

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Abstract

This paper introduces ProtGPT2, a language model trained on protein sequences to generate novel protein sequences. The generated proteins exhibit natural amino acid propensities and are largely globular. Sequence searches indicate the model samples unexplored regions of protein space, and AlphaFold predictions show well-folded structures with complex topologies not found in current databases. ProtGPT2 generates sequences rapidly and is publicly available.

Publisher

Nature Communications

Published On

Jul 27, 2022

Authors

Noelia Ferruz, Steffen Schmidt, Birte Höcker

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