USING INDIRECT PROTEIN–PROTEIN INTERACTIONS FOR PROTEIN COMPLEX PREDICTION
نویسندگان
چکیده
منابع مشابه
Using Indirect protein-protein Interactions for protein Complex Prediction
Protein complexes are fundamental for understanding principles of cellular organizations. Accurate and fast protein complex prediction from the PPI networks of increasing sizes can serve as a guide for biological experiments to discover novel protein complexes. However, protein complex prediction from PPI networks is a hard problem, especially in situations where the PPI network is noisy. We kn...
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Protein domains are conserved and functionally independent structures that play an important role in interactions among related proteins. Domain-domain interactions have been recently used to predict protein-protein interactions (PPI). In general, the interaction probability of a pair of domains is scored using a trained scoring function. Satisfying a threshold, the protein pairs carrying those...
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In this paper, four methods are proposed to predict whether two given proteins interact or not. The four methods applied for prediction of interaction status of proteins are Principle Component Analysis, Multidimensional Scaling, K-means Clustering, and Support Vector Machines. These methods are applied on phylogenetic profiles of Saccharomyces Cerevisiae (baker’s yeast) protein pairs. The phyl...
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MOTIVATION Protein interactions are of biological interest because they orchestrate a number of cellular processes such as metabolic pathways and immunological recognition. Domains are the building blocks of proteins; therefore, proteins are assumed to interact as a result of their interacting domains. Many domain-based models for protein interaction prediction have been developed, and prelimin...
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Characterizing protein function is a crucial part of understanding biological systems. Here we improve protein function prediction by accounting for data quality issues inherent in protein-protein interaction (PPI) databases. To accomplish this, we incorporate confidence information into the function prediction pipeline. The model pipeline uses weighted majority voting on the proteinprotein int...
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ژورنال
عنوان ژورنال: Journal of Bioinformatics and Computational Biology
سال: 2008
ISSN: 0219-7200,1757-6334
DOI: 10.1142/s0219720008003497