Abstract
The era of genomics has opened new possibilities for the computational prediction of protein function. In particular, the comparison of fully sequenced genomes allows us to investigate the so-called genomic context of a gene, which includes its chromosomal positioning relative to other genes as well as its evolutionary record among the genomes considered. This information can be exploited to find functionally interacting partners for a protein of unknown function and thus obtain information on the biological process in which it is playing a role. Such comparative genomics-based techniques are increasingly being used in the process of genome annotation and in the development of testable working hypothesis.
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Acknowledgments
Toni Gabalón is supported by a long-term fellowship from EMBO (LTF 402–2005). He thanks Martijn A. Huynen for introducing him to the field of computational protein function prediction.
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Gabaldón, T. (2008). Comparative Genomics-Based Prediction of Protein Function. In: Starkey, M., Elaswarapu, R. (eds) Genomics Protocols. Methods in Molecular Biology™, vol 439. Humana Press. https://doi.org/10.1007/978-1-59745-188-8_26
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DOI: https://doi.org/10.1007/978-1-59745-188-8_26
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