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» Prediction of protein structural class with Rough Sets
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BMCBI
2008
228views more  BMCBI 2008»
14 years 9 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
BIBE
2003
IEEE
124views Bioinformatics» more  BIBE 2003»
15 years 3 months ago
Prediction of Contact Maps Using Support Vector Machines
Contact map prediction is of great interest for its application in fold recognition and protein 3D structure determination. In this paper we present a contact-map prediction algor...
Ying Zhao, George Karypis
JCB
2006
215views more  JCB 2006»
14 years 9 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...
BMCBI
2007
144views more  BMCBI 2007»
14 years 9 months ago
Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study an
Background: Efforts to predict functional sites from globular proteins is increasingly common; however, the most successful of these methods generally require structural insight. ...
Dennis R. Livesay, Patrick D. Kidd, Sepehr Eskanda...
JCB
2007
83views more  JCB 2007»
14 years 9 months ago
Evolutionary Networks in the Formatted Protein Sequence Space
In our recent work, a new approach to establish sequence relatedness, by walking through the protein sequence space, was introduced. The sequence space is built from 20 amino acid...
Zakharia M. Frenkel, Edward N. Trifonov