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Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry
Deep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D Convolutional Neural Networks (CNNs). These two model types have very different architectur...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055221/ https://www.ncbi.nlm.nih.gov/pubmed/36993648 http://dx.doi.org/10.1101/2023.03.20.533508 |