Sciweavers

262 search results - page 4 / 53
» Protein secondary structure prediction using neural networks
Sort
View
BMCBI
2006
105views more  BMCBI 2006»
13 years 9 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
CIBCB
2009
IEEE
13 years 10 months ago
Improved prediction of trans-membrane spans in proteins using an artificial neural network
Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
Julia Koehler, Ralf Mueller, Jens Meiler
BMCBI
2010
98views more  BMCBI 2010»
13 years 9 months ago
Prediction of protein structural classes for low-homology sequences based on predicted secondary structure
Background: Prediction of protein structural classes (a, b, a + b and a/b) from amino acid sequences is of great importance, as it is beneficial to study protein function, regulat...
Jian-Yi Yang, Zhen-Ling Peng, Xin Chen
CIBCB
2005
IEEE
14 years 2 months ago
A Neural Network for Predicting Protein Disorder using Amino Acid Hydropathy Values
— Proteins have been discovered to contain ordered regions and disordered regions, where ordered regions have a defined three-dimensional (3D) structure and disordered regions d...
Deborah Stoffer, L. Gwenn Volkert
BMCBI
2008
168views more  BMCBI 2008»
13 years 9 months ago
Predicting protein folding pathways at the mesoscopic level based on native interactions between secondary structure elements
Background: Since experimental determination of protein folding pathways remains difficult, computational techniques are often used to simulate protein folding. Most current techn...
Qingwu Yang, Sing-Hoi Sze