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BMCBI
2006
118views more  BMCBI 2006»
13 years 7 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
BMCBI
2011
13 years 2 months ago
A quality metric for homology modeling: the H-factor
Background: The analysis of protein structures provides fundamental insight into most biochemical functions and consequently into the cause and possible treatment of diseases. As ...
Eric di Luccio, Patrice Koehl
ISVC
2007
Springer
14 years 1 months ago
Integrative Geometric-Hashing Approaches to Binding Site Modeling and Ligand-Protein Interaction Prediction
Abstract. The function of a protein is dependent on whether and how it can interact with various ligands. Therefore, an accurate prediction of protein-ligand interactions is paramo...
Joanna Lipinski-Kruszka, Rahul Singh
BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
IgTM: An algorithm to predict transmembrane domains and topology in proteins
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...
Piedachu Peris, Damián López, Marcel...
JCB
2006
215views more  JCB 2006»
13 years 7 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...