Computational Approaches for Peroxisomal Protein Localization
- 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.
| Author: | Marco AnteghiniORCiD, Vitor Martins Dos SantosORCiD |
|---|---|
| Document Type: | Book chapter |
| Parent Title (German): | Peroxisomes |
| Volume: | 2643 |
| First Page: | 405 |
| Last Page: | 411 |
| Series: | Methods in Molecular Biology |
| Publisher: | Humana, New York |
| Year of first publication: | 2023 |
| DOI: | https://doi.org/10.1007/978-1-0716-3048-8_29 |
