Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies
Computational protein design facilitates the discovery of novel proteins with prescribed structure and functionality. Exciting designs were recently reported using novel data-driven methodologies that can be roughly divided into two categories: evolutionary-based and physics-inspired approaches. The...
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| Published in: | Current opinion in structural biology Vol. 80; p. 102571 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Elsevier Ltd
01.06.2023
Elsevier |
| Subjects: | |
| ISSN: | 0959-440X, 1879-033X, 1879-033X |
| Online Access: | Get full text |
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