首页|A Transformer Based Machine Learning of Molecular Grammar Inherent in Proteins P rone to Liquid Liquid Phase Separation

A Transformer Based Machine Learning of Molecular Grammar Inherent in Proteins P rone to Liquid Liquid Phase Separation

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – According to news reporting based on a preprint a bstract, our journalists obtained the following quote sourced from biorxiv.org: “In this study, we delve into the intricate molecular language of Intrinsically Disordered Proteins (IDPs) using specialized transformer neural network-based la nguage models, specifically GPT models, pre-trained on sequences exhibiting vary ing propensities for liquid-liquid phase separation (LLPS).

BiophysicsCyborgsEmerging Technologi esMachine LearningPeptidesPeptides and ProteinsPhysicsProteins

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.20)