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

Journal article

Open access

Peer reviewed

HI Ingólfsson, Christopher Andrew Neale, TS Carpenter, R Shrestha, Cesar Augusto Lopez Bautista, TH Timothy, T Oppelstrup, H Bhatia, LG Stanton, X Zhang, …

Proceedings of the National Academy of Sciences, Vol.119(1), p.e2113297119

01/05/2022

Abstract and subjects

Basic Biological Sciences(59)

Mathematics & Computing(97)

pdf

Accepted ManuscriptDownload View

Open Access

3 Record Views

Title: Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins
Authors/Creators - name: HI Ingólfsson
Christopher Andrew Neale
TS Carpenter
R Shrestha
Cesar Augusto Lopez Bautista
TH Timothy
T Oppelstrup
H Bhatia
LG Stanton
X Zhang
S Sundram
F Di Natale
Animesh Agarwal
G Dharuman
SILK Schumacher
T Turbyville
G Gulten
QN Van
D Goswami
F Jean-Francios
C Agamasu
D Chen
Jeevapani Jayaranga Hettige
Timothy Travers
Sumantra Sarkar
MP Surh
Y Yang
A Moody
S Liu
F McCormick
Angel Enrique Garcia
BC Van Essen
Arthur Ford Voter
A Ramanathan
Nicolas W. Hengartner
AG Stephen
DK Simanshu
P-T Bremer
Sandrasegaram Gnanakaran
JN Glosli
FC Lightstone
DV Nissley
FH Streitz
Publication Details: Proceedings of the National Academy of Sciences, Vol.119(1), p.e2113297119
Number of pages: 120 p.
Government Number: LA-UR-19-32061
Language: English
Resource Type: Journal article
DOI: https://doi.org/10.1073/pnas.2113297119
ISSN: 0027-8424