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BMCBI
2010
176views more  BMCBI 2010»
13 years 4 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...
COGSCI
2007
85views more  COGSCI 2007»
13 years 4 months ago
Semantic Boost on Episodic Associations: An Empirically-Based Computational Model
Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused...
Yaron Silberman, Shlomo Bentin, Risto Miikkulainen
BMCBI
2010
117views more  BMCBI 2010»
13 years 4 months ago
Identification of NAD interacting residues in proteins
Background: Small molecular cofactors or ligands play a crucial role in the proper functioning of cells. Accurate annotation of their target proteins and binding sites is required...
Hifzur Rahman Ansari, Gajendra P. S. Raghava
BMCBI
2006
87views more  BMCBI 2006»
13 years 4 months ago
Prediction of indirect interactions in proteins
Background: Both direct and indirect interactions determine molecular recognition of ligands by proteins. Indirect interactions can be defined as effects on recognition controlled...
Peteris Prusis, Staffan Uhlén, Ramona Petro...
BMCBI
2010
103views more  BMCBI 2010»
13 years 4 months ago
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information
Background: Guanosine triphosphate (GTP)-binding proteins play an important role in regulation of G-protein. Thus prediction of GTP interacting residues in a protein is one of the...
Jagat S. Chauhan, Nitish K. Mishra, Gajendra P. S....