Prediction of Protein-protein Interactions on the Basis of Evolutionary Conservation of Protein Functions

作者: Ekaterina Kotelnikova , Anton Yuryev , Sergei Maslov , Andrey Kalinin

DOI: 10.4137/EBO.S0

关键词: Dependency (UML)Similarity (network science)Probabilistic logicComputational biologyData scienceProtein–protein interactionGenomicsSequenceProtein superfamilyComputer scienceProbabilistic method

摘要: Motivation: Although a great deal of progress is being made in the development fast and reliable experimental techniques to extract genome-wide networks protein-protein protein-DNA interactions, sequencing new genomes proceeds at an even faster rate. That why there considerable need for methods in-silico prediction protein interaction based solely on sequence similarity information known interactions from well-studied organisms. This problem can be solved if dependency exists between conservation proteins’ functions. Results: In this paper, we introduce novel probabilistic method using empirical formula describing loss homologous proteins during course evolution. describes evolutional process quite similar Earth’s population growth. addition, our favors predictions confi rmed by several interacting pairs over coming single pair. Our approach useful working with “noisy” data such as those high-throughput experiments. We have generated fi ve “model” organisms: H. sapiens, D. melanogaster, C. elegans, A. thaliana, S. cerevisiae evaluated quality these predictions.

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