46 search results - page 1 / 10 » A Hidden Markov Model for Predicting Transmembrane Helices i... |
ISMB
1998
13 years 5 months ago
1998
A novel method to model and predict the location and orientation of alpha helices in membrane- spanning proteins is presented. It is based on a hidden Markov model (HMM) with an a...
ISMIS
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
BMCBI
2006
13 years 4 months ago
2006
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
BMCBI
2008
13 years 4 months ago
2008
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
BMCBI
2005
13 years 4 months ago
2005
Background: G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligan...