Predicting the functional impact of KCNQ1 variants with artificial neural networks
Recent advances in experimental and computational protein structure determination have provided access to high-quality structures for most human proteins and mutants thereof. However, linking changes in structure in protein mutants to functional impact remains an active area of method development. I...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science
2022
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| Online Access: | View Fulltext in Publisher |