FiTMuSiC: leveraging structural and (co)evolutionary data for protein fitness prediction
Abstract Systematically predicting the effects of mutations on protein fitness is essential for the understanding of genetic diseases. Indeed, predictions complement experimental efforts in analyzing how variants lead to dysfunctional proteins that in turn can cause diseases. Here we present our new...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-04-01
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| Series: | Human Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40246-024-00605-9 |