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Advances in Deep Learning for Protein Design by PRITHVI A L is a document available to read on EtoBox.

What is Advances in Deep Learning for Protein Design about?

This systematic review discusses significant advancements in deep learning-driven protein structure prediction and design, highlighting four core models—AlphaFold, RoseTTAFold, RFDiffusion, and ProteinMPNN—developed by the 2024 Nobel Laureates in Chemistry. The paper emphasizes breakthroughs in atomic-level structural accuracy and functional protein engineering while addressing ongoing challenges in dynamic conformational sampling and multimodal data integration. Future directions include hybrid physics-AI

Author

PRITHVI A L

Language

EN