University of Zagreb. Faculty of Science. Department of Mathematics.
Abstract
Opisan je razvoj skrivenog Markovljevog modela za traženje motiva karakterističnih za članove određene proteinske familije. Nakon analize “score”-ova dobivenih na simuliranim proteomima konstruirana je korekcija tako da korigirani “score”-ovi služe kao kriterij za identifikaciju nizova koji sadrže tražene motive. Metoda je primijenjena na četiri biljna proteoma s pozitivnim rezultatima.In this work we study one of the methods used for identifying proteins characterized by specific motifs. We have described a hidden Markov model designed for searching for motifs. After analyzing the scores obtained on simulated data, we have constructed a score correction that should yield a valid criterion for discriminating sequences with wanted motifs. In the end we apply this method to four plant proteomes with positive results
