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» Prediction of indirect interactions in proteins
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BMCBI
2010
176views more  BMCBI 2010»
13 years 7 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...
BMCBI
2008
138views more  BMCBI 2008»
13 years 7 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand bindin
Background: An accurate description of protein shape derived from protein structure is necessary to establish an understanding of protein-ligand interactions, which in turn will l...
Lei Xie, Philip E. Bourne
GCB
2007
Springer
161views Biometrics» more  GCB 2007»
14 years 1 months ago
High-Precision Function Prediction using Conserved Interactions
: The recent availability of large data sets of protein- protein-interactions (PPIs) from various species offers new opportunities for functional genomics and proteomics. We descri...
Samira Jaeger, Ulf Leser
BMCBI
2007
141views more  BMCBI 2007»
13 years 7 months ago
Reconstruction of human protein interolog network using evolutionary conserved network
Background: The recent increase in the use of high-throughput two-hybrid analysis has generated large quantities of data on protein interactions. Specifically, the availability of...
Tao-Wei Huang, Chung-Yen Lin, Cheng-Yan Kao