Generative models for graph-based protein design
Engineered proteins offer the potential to solve many problems in biomedicine, energy, and materials science, but creating designs that succeed is difficult in practice. A significant aspect of this challenge is the complex coupling between protein sequence and 3D structure, with the task of finding...
Main Authors: | Ingraham, John (Author), Garg, Vikas Kamur (Author), Barzilay, Regina (Author), Jaakkola, Tommi S (Author) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
Neural Information Processing Systems Foundation, Inc.,
2021-09-09T14:43:09Z.
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Subjects: | |
Online Access: | Get fulltext |
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