Name
Title | ||
|---|---|---|
Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction |
Abstract | ||
|---|---|---|
Amino acid properties were optimized for protein secondary structure prediction. The artificial properties were evolved using differential evolution in a property space of arbitrary dimensionality. These properties were optimized to provide the correct results in predicting the elements of the protein secondary structure using a simple classifier model and with standard benchmark sets. A comparison is performed with respect to the use of the commonly employed orthogonal and neutral encoding of the amino acids of the protein chain, together with a discussion of the similarities of the evolved artificial properties with respect to physical properties of amino acids. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CEC45853.2021.9504939 | 2021 IEEE Congress on Evolutionary Computation (CEC) |
Keywords | DocType | ISBN |
Differential evolution,Protein structure prediction,Structural biology | Conference | 978-1-7281-8394-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Santos | 1 | 97 | 14.77 |
| Héctor Rivas | 2 | 0 | 0.34 |