Computational analysis and prediction of PE_PGRS proteins using machine learning

Mycobacterium tuberculosis genome comprises approximately 10% of two families of poorly characterised genes due to their high GC content and highly repetitive nature. The largest sub-group, the proline-glutamic acid polymorphic guanine-cytosine-rich sequence (PE_PGRS) family, is thought to be involv...

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Detalles Bibliográficos
Autores principales: Li, Fuyi, Guo, Xudong, Xiang, Dongxu, Pitt, Miranda E., Bainomugisa, Arnold, Coin, Lachlan J.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804200/
https://www.ncbi.nlm.nih.gov/pubmed/35140886
http://dx.doi.org/10.1016/j.csbj.2022.01.019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804200/
https://www.ncbi.nlm.nih.gov/pubmed/35140886
http://dx.doi.org/10.1016/j.csbj.2022.01.019

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