Sciweavers

40 search results - page 2 / 8
» SCPRED: Accurate prediction of protein structural class for ...
Sort
View
BMCBI
2011
12 years 8 months ago
HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods
Background: Although homology-based methods are among the most widely used methods for predicting the structure and function of proteins, the question as to whether interface sequ...
Li C. Xue, Drena Dobbs, Vasant Honavar
BMCBI
2007
140views more  BMCBI 2007»
13 years 4 months ago
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure in
Background: Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio...
Gianluca Pollastri, Alberto J. M. Martin, Catherin...
BMCBI
2007
142views more  BMCBI 2007»
13 years 5 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...
BMCBI
2006
106views more  BMCBI 2006»
13 years 4 months ago
Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
Metal-binding proteins play important roles in structural stability, signaling, regulation, transport, immune response, metabolism control, and metal homeostasis. Because of their...
H. H. Lin, L. Y. Han, H. L. Zhang, C. J. Zheng, B....
BMCBI
2011
12 years 8 months ago
In-silico prediction of disorder content using hybrid sequence representation
Background: Intrinsically disordered proteins play important roles in various cellular activities and their prevalence was implicated in a number of human diseases. The knowledge ...
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou...