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Computational and Experimental Approaches to Predict Host–Parasite Protein–Protein Interactions

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Computational Cell Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1819))

Abstract

In host–parasite systems, protein–protein interactions are key to allow the pathogen to enter the host and persist within the host. The study of host–parasite molecular communication improves the understanding the mechanisms of infection, evasion of the host immune system and tropism across different tissues. Current trends in parasitology focus on unraveling host–parasite protein–protein interactions to aid the development of new strategies to combat pathogenic parasites with better treatments and prevention mechanisms. Due to the complexity of capturing experimentally these interactions, computational approaches integrating data from different sources (mainly “omics” data) become key to complement or support experimental approaches. Here, we focus on the application of experimental and computational methods in the prediction of host–parasite interactions and highlight the potential of each of these methods in specific contexts.

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Acknowledgments

We would like to thank the editors for the opportunity to contribute to this book. This work was supported by the National Institutes of Health-NIH/Fogarty International Center, USA (TW007012 and 1P50AI098507-01) to G.O., Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-CAPES, Brazil (REDE 21/2015 and 070/13) to G.O., FAPEMIG (RED-00014-14 and PPM-00189-13) to G.O., and Conselho Nacional de Desenvolvimento Científico e Tecnológico-CNPq, Brazil (304138/2014-2) to G.O. G.O. is a CNPq fellow (307479/2016-1), and Y.C.A. a CAPES fellow. An EMBO short-term fellowship (400-2015) to Y.C.A is acknowledged.

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Cuesta-Astroz, Y., Oliveira, G. (2018). Computational and Experimental Approaches to Predict Host–Parasite Protein–Protein Interactions. In: von Stechow, L., Santos Delgado, A. (eds) Computational Cell Biology. Methods in Molecular Biology, vol 1819. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8618-7_7

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