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BMCBI
2006
105views more  BMCBI 2006»
13 years 6 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa
BMCBI
2010
133views more  BMCBI 2010»
13 years 6 months ago
Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical
Background: Many structural properties such as solvent accessibility, dihedral angles and helix-helix contacts can be assigned to each residue in a membrane protein. Independent s...
Shandar Ahmad, Yumlembam Hemjit Singh, Yogesh Paud...
CSB
2005
IEEE
124views Bioinformatics» more  CSB 2005»
14 years 11 days ago
Multi-Scale Hierarchical Structure Prediction of Helical Transmembrane Proteins
As the first step toward a multi-scale, hierarchical computational approach for membrane protein structure prediction, the packing of transmembrane helices was modeled at the resi...
Zhong Chen, Ying Xu
ICMCS
2006
IEEE
153views Multimedia» more  ICMCS 2006»
14 years 24 days ago
Overview of Low-Complexity Video Transcoding from H.263 to H.264
With the standardization of H.264/AVC by ITU-T and ISO/IEC and the adaptatation into new hardware, the necessity of transcoding between existing standards and H.264 will arise to ...
Jens Bialkowski, Marcus Barkowsky, André Ka...
ARTMED
2004
133views more  ARTMED 2004»
13 years 6 months ago
Bayesian network multi-classifiers for protein secondary structure prediction
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
Víctor Robles, Pedro Larrañaga, Jos&...