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What is Predicting IDR Properties from Sequence about?
The article presents ALBATROSS, a deep-learning model designed to predict the conformational properties of intrinsically disordered proteins (IDRs) directly from their sequences. By combining rational sequence design, large-scale molecular simulations, and deep learning, ALBATROSS can estimate ensemble dimensions such as radius of gyration and asphericity at a proteome-wide scale, making it accessible through a user-friendly interface. The model aims to facilitate the understanding of IDR behavior and enhan
- Author
- Nisha Pawar
- Language
- EN