Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform

It is significant for biological cells to predict self-interacting proteins (SIPs) in the field of bioinformatics. SIPs mean that two or more identical proteins can interact with each other by one gene expression. This plays a major role in the evolution of protein‒protein interactions (PPIs) and ce...

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Detalles Bibliográficos
Autores principales: Chen, Zhan-Heng, You, Zhu-Hong, Li, Li-Ping, Wang, Yan-Bin, Wong, Leon, Yi, Hai-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412412/
https://www.ncbi.nlm.nih.gov/pubmed/30795499
http://dx.doi.org/10.3390/ijms20040930

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412412/
https://www.ncbi.nlm.nih.gov/pubmed/30795499
http://dx.doi.org/10.3390/ijms20040930

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