Correlated sequence-signatures as markers of protein-protein interaction.

By Einat Sprinzak, Hanah Margalit. Journal of Molecular Biology, 2001

420 citations recorded by the source corpus.

Subfields: Cell Biology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/16a4ac53b9e4470c01aab38d31608ff087d391f2

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Citations in the corpus

Predicting protein-protein interactions using signature products (2005, methodology): “While predicting domains are not the focus of our method, we were encouraged by our preliminary results in this direction, and by how they matched with the InterPro predictions made in Sprinzak and Margalit (2001).”
Kernel methods for predicting protein-protein interactions (2005, background): “This representation is motivated by the observation that some domains are significantly overrepresented in interacting proteins (Sprinzak and Margalit, 2001 ).”
In silico prediction of protein-protein interactions in human macrophages (2001, methodology): “Numerous methods aiming at inferring interactions have also been proposed, based on sequence signatures and similarities, domain profiling or bayesian predictions [8-11].”
Chapter 4: Protein Interactions and Disease (2012, methodology): “The computational techniques based on experimental data use the relative frequency of interacting domains [19], maximum likelihood estimation of domain interaction probability [20,21], co-expression [22], or network properties [23–27] to predict protein and domain interactions.”
Online Predicted Human Interaction Database (2005, neutral): “Examples include domain–domain co-occurrence (Deng et al., 2002; Sprinzak and Margalit, 2001), gene co-expression (Bader et al.”
Protein-to-protein interactions: Technologies, databases, and algorithms (2010, methodology): “Finally, we only cite other approaches that try to infer the interactions by the analysis of a protein s primary structure [Sprinzak and Margalit 2001] or by applying a modi.cation of traditional threading where an interaction is predicted by threading two proteins onto a protein complex…”
Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners (2007, methodology): “For example, as shown in Figure 2A, correlated sequence signatures, or domains, that are found together more often than expected by chance can be used as markers to predict a new type of protein interaction [71].”