Evidence map›Paper›PMID 40849684›Full record

ArticleBiophysical journal2026

Dynamics and lipid membrane coupling of the RAS-RAF complex revealed via multiscale simulations.

Timothy S Carpenter, Fikret Aydin, Chris Neale, Que N Van, Xiaohua Zhang, Harsh Bhatia, Jason W Sidabras, Peter H Frank, Konstantia Georgouli, Jeremy O B Tempkin and 30 more

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

40 authors.

Timothy S CarpenterPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California. Electronic address: carpenter36@llnl.gov.
Fikret AydinPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Chris NealeTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Que N VanNCI RAS Initiative, The Cancer Research Technology Program, Frederick National Laboratory, Frederick, Maryland.
Xiaohua ZhangPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Harsh BhatiaComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Jason W SidabrasDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin.
Peter H FrankNCI RAS Initiative, The Cancer Research Technology Program, Frederick National Laboratory, Frederick, Maryland.
Konstantia GeorgouliPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Jeremy O B TempkinPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Violeta Burns CasamayorTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Gulcin GultenNCI RAS Initiative, The Cancer Research Technology Program, Frederick National Laboratory, Frederick, Maryland.
Rebika ShresthaNCI RAS Initiative, The Cancer Research Technology Program, Frederick National Laboratory, Frederick, Maryland.
Debanjan GoswamiNCI RAS Initiative, The Cancer Research Technology Program, Frederick National Laboratory, Frederick, Maryland.
Francesco Di NataleComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Joseph R ChavezComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Adam MoodyComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Joseph Y MoonComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Tomas OppelstrupPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
James N GlosliPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Gautham DharumanPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Sergio WongPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Shusen LiuComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Nicolas W HengartnerTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Cesar A LópezTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Kien NguyenTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Christopher B StanleyComputational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee.
Liam G StantonDepartment of Mathematics and Statistics, San José State University, San José, California.
Lara PatelTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Tyler ReddyTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Thomas J TurbyvilleNCI RAS Initiative, The Cancer Research Technology Program, Frederick National Laboratory, Frederick, Maryland.
Brian Van EssenComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Peer-Timo BremerComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Felice C LightstonePhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Andrew G StephenTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Sandrasegaram GnanakaranTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico.
Frank McCormickHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California.
Dwight V NissleyNCI RAS Initiative, The Cancer Research Technology Program, Frederick National Laboratory, Frederick, Maryland. Electronic address: nissleyd@mail.nih.gov.
Frederick H StreitzComputing Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Helgi I IngólfssonPhysical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
Intramural NIH HHS Z99 CA999999NCI NIH HHS 75N91019D00024NIH HHS 75N91019D00024
6 · The paper itself

Abstract

To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is a factor we are just beginning to understand and appreciate in more detail. Molecular simulation is an ideal methodology to further study this complicated relationship between the membrane and associated proteins. Our previous work using Multiscale Machine-learned Modeling Infrastructure investigated different lipid compositions solely around the KRAS4b protein and the interplay between protein behavior and these membrane environments. Multiscale Machine-learned Modeling Infrastructure uses machine learning to couple adjacent simulation scales and has been efficiently scaled across some of the world's largest high-performance computers. Recently, we have expanded this multiresolution framework to include the all-atom simulation scale and to incorporate the RAF RBDCRD domains. Here, we present the overall analysis results from this new simulation campaign comprising a mixture of RAS and RAF RBDCRD proteins. Approximately 35,000 coarse-grained and 10,000 all-atom molecular dynamics simulations were completed, sampled from a variety of protein/lipid composition configurations that were generated from a micron-scale continuum simulation containing hundreds of copies of the proteins. Our studies suggest that orientations of the RAS-RBDCRD complex on the membrane occupy distinct configurational states, and the spatial patterns of lipid arrangements around these different protein states are unique to each state. The extent and size of lipid "fingerprints" imposed on the membrane by the RAS-RBDCRD protein complex are significantly larger than observed for just the RAS protein on its own. These protein complexes strongly associate, but we do not observe statistically significant preferred protein-protein orientations. These observations indicate that spatial colocalization of RAS-RBDCRD proteins in the same vicinity may be assisted by specific membrane environments, acting to increase the probability of signaling complex formation.

Indexed as

Cell MembraneMembrane LipidsMolecular Dynamics Simulationraf Kinasesras ProteinsMembrane Lipidsraf Kinasesras Proteins

Identifiers

PMID40849684
PMCPMC12680136

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.