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Updated: Jun 14, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
How deep can we decipher protein evolution with deep learning models
1Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, SE-412 96 Gothenburg, Sweden.
Abstract:
Evolutionary-based machine learning models have emerged as a fascinating approach to mapping the landscape for protein evolution. Lian et al. demonstrated that evolution-based deep generative models, specifically variational autoencoders, can organize SH3 homologs in a hierarchical latent space, effectively distinguishing the specific Sho1SH3 domains.
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