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» TSEMA: interactive prediction of protein pairings between in...
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BMCBI
2008
97views more  BMCBI 2008»
14 years 9 months ago
Interrogating domain-domain interactions with parsimony based approaches
Background: The identification and characterization of interacting domain pairs is an important step towards understanding protein interactions. In the last few years, several met...
Katia S. Guimarães, Teresa M. Przytycka
89
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BMCBI
2010
179views more  BMCBI 2010»
14 years 9 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
96
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BMCBI
2010
97views more  BMCBI 2010»
14 years 9 months ago
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear a
Background: Protein kinases play crucial roles in cell growth, differentiation, and apoptosis. Abnormal function of protein kinases can lead to many serious diseases, such as canc...
Maris Lapinsh, Jarl E. S. Wikberg
BMCBI
2007
166views more  BMCBI 2007»
14 years 9 months ago
PathFinder: mining signal transduction pathway segments from protein-protein interaction networks
Background: A Signal transduction pathway is the chain of processes by which a cell converts an extracellular signal into a response. In most unicellular organisms, the number of ...
Gürkan Bebek, Jiong Yang
BMCBI
2006
130views more  BMCBI 2006»
14 years 9 months ago
Docking protein domains in contact space
Background: Many biological processes involve the physical interaction between protein domains. Understanding these functional associations requires knowledge of the molecular str...
Stefano Lise, Alice Walker-Taylor, David T. Jones