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BMCBI
2010
183views more  BMCBI 2010»
13 years 8 months ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
BMCBI
2010
176views more  BMCBI 2010»
13 years 8 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
RECOMB
2001
Springer
14 years 9 months ago
Towards predicting coiled-coil protein interactions
Protein-protein interactions play a central role in many cellular functions, and as whole-genome data accumulates, computational methods for predicting these interactions become i...
Mona Singh, Peter S. Kim
BMCBI
2008
121views more  BMCBI 2008»
13 years 8 months ago
iRefIndex: A consolidated protein interaction database with provenance
Background: Interaction data for a given protein may be spread across multiple databases. We set out to create a unifying index that would facilitate searching for these data and ...
Sabry Razick, George Magklaras, Ian M. Donaldson
BMCBI
2007
119views more  BMCBI 2007»
13 years 8 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...