Machine-learning a virus assembly fitness landscape
Machine-learning a virus assembly fitness landscape
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Publisher
United States: Public Library of Science
Journal title
Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Realistic evolutionary fitness landscapes are notoriously difficult to construct. A recent cutting-edge model of virus assembly consists of a dodecahedral capsid with 12 corresponding packaging signals in three affinity bands. This whole genome/phenotype space consisting of 312 genomes has been explored via computationally expensive stochastic asse...
Alternative Titles
Full title
Machine-learning a virus assembly fitness landscape
Authors, Artists and Contributors
Author / Creator
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TN_cdi_plos_journals_2522383881
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2522383881
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0250227
