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- Romero, Philip A.; Krause, Andreas; Arnold, Frances H.
- Proceedings of the National Academy of Sciences of the United States of America 2013 v.110 no.3 pp. E193
- normal distribution, etc ; Bayesian theory; algorithms; binding capacity; chimerism; cytochrome P-450; directed evolution; engineering; enzyme activity; enzymes; landscapes; model uncertainty; models; thermal stability; Show all 14 Subjects
- ... Knowing how protein sequence maps to function (the “fitness landscape”) is critical for understanding protein evolution as well as for engineering proteins with new and useful properties. We demonstrate that the protein fitness landscape can be inferred from experimental data, using Gaussian processes, a Bayesian learning technique. Gaussian process landscapes can model various protein sequence pr ...
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