- Tytuł:
- New machine learning methods for prediction of protein secondary structures
- Autorzy:
-
Błażewicz, J.
Łukasiak, P.
Wilk, S. - Powiązania:
- https://bibliotekanauki.pl/articles/969728.pdf
- Data publikacji:
- 2007
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
machine learning
prediction of protein structures
LAD
LEM2
MODLEM - Opis:
- The first and probably the most important step in predicting the tertiary structure of proteins from its primary structure is to predict as many as possible secondary structures in a protein chain. Secondary structure prediction problem has been known for almost a quarter of century. In this paper, new machine learning methods such as LAD, LEM2, and MODLEM have been used for secondary protein structure prediction with the aim to choose the best among them which will be later parallelized in order to handle a huge amount of data sets.
- Źródło:
-
Control and Cybernetics; 2007, 36, 1; 183-201
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł