ArticleFrontiers in bioinformatics2022
Mimetic Neural Networks: A Unified Framework for Protein Design and Folding.
Article in Frontiers in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Protein Design Using Physics Informed Neural Networks.Biomolecules · 2023Article
- Graph representation learning for structural proteomics.Emerging topics in life sciences · 2021Review
- Protein Design with Deep Learning.International journal of molecular sciences · 2021Review
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Authors and funding
5 authors.
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Abstract
Recent advancements in machine learning techniques for protein structure prediction motivate better results in its inverse problem-protein design. In this work we introduce a new graph mimetic neural network, MimNet, and show that it is possible to build a reversible architecture that solves the structure and design problems in tandem, allowing to improve protein backbone design when the structure is better estimated. We use the ProteinNet data set and show that the state of the art results in protein design can be met and even improved, given recent architectures for protein folding.
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Registered trials
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