- author = "Chun-jen Chen",
- title = "A New Fitness Function for Evaluating the Quality of Predicted Protein Structures",
- school = "National Sun Yat-sen University",
- year = "2010",
- address = "Taiwan",
- month = "2 " # sep,
- keywords = "genetic algorithms, genetic programming, prediction, tertiary structure, protein",
-
URL = "
https://etd.lis.nsysu.edu.tw/ETD-db/ETD-search-c/view_etd?URN=etd-0902110-103900",
- abstract = "For understanding the function of a protein, the protein structure plays an important role. The prediction of protein structure from its primary sequence has significant assistance in bioinformatics. Generally, the real protein structures can be reconstructed by some costly techniques, but predicting the protein structures helps us guess the functional expression of a protein in advance. In this thesis, we develop three terms as the materials of the fitness function that can be successfully used in protein backbone structure prediction. In the result of this thesis, it shows that over 80 percent of good values calculated from our fitness function, which are generated by the genetic programming, are better than the average in the CASP8.",
-
notes = "In English
Supervisor: Chang-Biau Yang",
