Sciweavers

188 search results - page 12 / 38
» Improving protein secondary structure prediction using a sim...
Sort
View
CIBCB
2005
IEEE
14 years 1 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
SAC
2009
ACM
14 years 2 months ago
GTfold: a scalable multicore code for RNA secondary structure prediction
The prediction of the correct secondary structures of large RNAs is one of the unsolved challenges of computational molecular biology. Among the major obstacles is the fact that a...
Amrita Mathuriya, David A. Bader, Christine E. Hei...
CIKM
2009
Springer
14 years 2 months ago
Linear predictive coding representation of correlated mutation for protein sequence alignment
Background: Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of ali...
Chan-seok Jeong, Dongsup Kim
BMCBI
2010
145views more  BMCBI 2010»
13 years 2 months ago
Directionality in protein fold prediction
Background: Ever since the ground-breaking work of Anfinsen et al. in which a denatured protein was found to refold to its native state, it has been frequently stated by the prote...
Jonathan J. Ellis, Fabien P. E. Huard, Charlotte M...
BMCBI
2007
119views more  BMCBI 2007»
13 years 7 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...