29 search results - page 2 / 6 » Protein Secondary-Structure Modeling with Probabilistic Netw... |
BMCBI
2011
12 years 8 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
ARTMED
2004
13 years 5 months ago
2004
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
BMCBI
2002
13 years 5 months ago
2002
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
BMCBI
2010
13 years 5 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
RECOMB
2006
Springer
14 years 5 months ago
2006
Springer
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...