PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs)

PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs)

Predicting the relative solvent accessibility (RSA) of a protein is critical to understanding its 3D structure and biological function. RSA prediction, especially when homology transfer cannot provide information about a protein’s structure, is a significant step toward addressing the protein struct...

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Bibliographic Details
Main Authors: Wafa Alanazi, Di Meng, Gianluca Pollastri
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biomolecules
Subjects:
protein structure prediction
structural bioinformatics
bioinformatics
natural language processing
computational biology
deep learning
Online Access:https://www.mdpi.com/2218-273X/15/1/49
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