Choosing the optimal hidden Markov model for secondary-structure prediction

Proteins are major constituents of living cells, forming many cellular components and most enzymes. So, knowledge of 3D protein structures is essential to understand biological mechanisms. Researchers often use neural networks to predict secondary structure in proteins, but the networks can be hard...

Ausführliche Beschreibung