Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins

RAS is a signaling protein associated with the cell membrane that is mutated in up to 30% of human cancers. RAS signaling has been proposed to be regulated by dynamic heterogeneity of the cell membrane. Investigating such a mechanism requires near-atomistic detail at macroscopic temporal and spatial...

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Detalles Bibliográficos
Autores principales: Ingólfsson, Helgi I., Neale, Chris, Carpenter, Timothy S., Shrestha, Rebika, López, Cesar A., Tran, Timothy H., Oppelstrup, Tomas, Bhatia, Harsh, Stanton, Liam G., Zhang, Xiaohua, Sundram, Shiv, Di Natale, Francesco, Agarwal, Animesh, Dharuman, Gautham, Kokkila Schumacher, Sara I. L., Turbyville, Thomas, Gulten, Gulcin, Van, Que N., Goswami, Debanjan, Jean-Francois, Frantz, Agamasu, Constance, Chen, De, Hettige, Jeevapani J., Travers, Timothy, Sarkar, Sumantra, Surh, Michael P., Yang, Yue, Moody, Adam, Liu, Shusen, Van Essen, Brian C., Voter, Arthur F., Ramanathan, Arvind, Hengartner, Nicolas W., Simanshu, Dhirendra K., Stephen, Andrew G., Bremer, Peer-Timo, Gnanakaran, S., Glosli, James N., Lightstone, Felice C., McCormick, Frank, Nissley, Dwight V., Streitz, Frederick H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740753/
https://www.ncbi.nlm.nih.gov/pubmed/34983849
http://dx.doi.org/10.1073/pnas.2113297119

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