Abstract
Computational approaches are practical when investigating putative peroxisomal proteins and for sub-peroxisomal protein localization in unknown protein sequences. Nowadays, advancements in computational methods and Machine Learning (ML) can be used to hasten the discovery of novel peroxisomal proteins and can be combined with more established computational methodologies. Here, we explain and list some of the most used tools and methodologies for novel peroxisomal protein detection and localization.
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Anteghini, M., Martins dos Santos, V.A.P. (2023). Computational Approaches for Peroxisomal Protein Localization. In: Schrader, M. (eds) Peroxisomes. Methods in Molecular Biology, vol 2643. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3048-8_29
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DOI: https://doi.org/10.1007/978-1-0716-3048-8_29
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