BiologyNature Communications
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.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
X. Xue, S. Chinnaperumal, et al.
Chemistry
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture
H. Park, X. Yan, et al.
Chemistry
TransPolymer: a Transformer-based language model for polymer property predictions
C. Xu, Y. Wang, et al.
Engineering and Technology
A multi-model architecture based on deep learning for aircraft load prediction
C. Sun, H. Li, et al.

