41 search results - page 2 / 9 » Evolving hidden Markov models for protein secondary structur... |
BMCBI
2006
13 years 6 months ago
2006
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
BMCBI
2005
13 years 6 months ago
2005
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
BMCBI
2004
13 years 6 months ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
BMCBI
2011
12 years 9 months ago
2011
Background: One of the strategies for protein function annotation is to search particular structural motifs that are known to be shared by proteins with a given function. Results:...