e-Article
Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins
Document Type
Article
Author
Ingolfsson, H.I.; Carpenter, T.S.; Oppelstrup, T.; Zhang, X.; Sundram, S.; Dharuman, G.; Surh, M.P.; Yang, Y.; Glosli, J.N.; Lightstone, F.C.; Streitz, F.H.; Neale, C.; Lopez, C.A.; Agarwal, A.; Hettige, J.J.; Travers, T.; Hengartner, N.W.; Gnanakaran, S.; Shrestha, R.; Tran, T.H.; Turbyville, T.; Gulten, G.; Van, Q.N.; Goswami, D.; Jean-Francois, F.; Agamasu, C.; Chen, D.; Simanshu, D.K.; Stephen, A.G.; McCormick, F.; Nissley, D.V.; Bhatia, H.; Natale, F.D.; Moody, A.; Liu, S.; van Essen, B.C.; Bremer, P.-T.; Stanton, L.G.; Kokkila Schumacher, S.I.L.; Sarkar, S.; Voter, A.F.; Ramanathan, A.
Source
In: Proceedings of the National Academy of Sciences of the United States of America . (Proceedings of the National Academy of Sciences of the United States of America, 4 January 2022, 119(1))
Subject
Language
English
ISSN
10916490
00278424
00278424