Gulotta, M.R.; De Simone, G.; John, J.; Perricone, U.; Brancale, A.
A Computer-Based Methodology to Design Non-Standard Peptides Potentially Able to Prevent HOX-PBX1-Associated Cancer Diseases. Int. J. Mol. Sci. 2021, 22, 5670.
https://doi.org/10.3390/ijms22115670
AMA Style
Gulotta MR, De Simone G, John J, Perricone U, Brancale A.
A Computer-Based Methodology to Design Non-Standard Peptides Potentially Able to Prevent HOX-PBX1-Associated Cancer Diseases. International Journal of Molecular Sciences. 2021; 22(11):5670.
https://doi.org/10.3390/ijms22115670
Chicago/Turabian Style
Gulotta, Maria Rita, Giada De Simone, Justin John, Ugo Perricone, and Andrea Brancale.
2021. "A Computer-Based Methodology to Design Non-Standard Peptides Potentially Able to Prevent HOX-PBX1-Associated Cancer Diseases" International Journal of Molecular Sciences 22, no. 11: 5670.
https://doi.org/10.3390/ijms22115670
APA Style
Gulotta, M. R., De Simone, G., John, J., Perricone, U., & Brancale, A.
(2021). A Computer-Based Methodology to Design Non-Standard Peptides Potentially Able to Prevent HOX-PBX1-Associated Cancer Diseases. International Journal of Molecular Sciences, 22(11), 5670.
https://doi.org/10.3390/ijms22115670