Atomic Conformational Dynamics and Actin-Crosslinking Function of Alpha-Actinin Revealed by SimHS-AFMfit
Ngo, K. X.; Sumikama, T.; Vuillemot, R.; Nguyen, H. G.; Uyeda, T.; Le, N. T. P.; Grudinin, S.
Show abstract
Many molecular systems, such as intrinsically disordered proteins and flexible multi-domain complexes, are highly dynamic and often inaccessible to conventional X-ray crystallography or cryo-EM due to their conformational heterogeneity and flexibility. As a result, resolving their atomic-level dynamics remains a significant challenge. In this study, we present SimHS-AFMfit-MD, an integrative framework that combines high-speed atomic force microscopy (HS-AFM), molecular dynamics (MD) simulations, and AFMfit-based structural modeling to reconstruct dynamic protein conformations at atomic resolution. Using alpha-actinin, an actin crosslinking protein, as a challenging test system, we show that AFMfit guided by nonlinear normal mode analysis (AFMfit-NMA) enables accurate structural fitting, while guiding AFMfit with MD trajectories (AFMfit-MD) further enhances the flexible fitting performance, achieving closer agreement with unbiased all-atom MD simulation results. This strategy allows us to convert thousands of three-dimensional HS-AFM images into atomic-scale conformational ensembles, revealing the twisting and bending transitions underlying Ca{superscript 2}-bound and Ca{superscript 2}-unbound alpha-actinin. Together, our results establish a hybrid computational-experimental approach that bridges the spatial and, to some extent, temporal resolution gaps between simulation and imaging, paving the way for real-time visualization of protein conformational dynamics at the atomic scale. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/647477v3_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@147c1aforg.highwire.dtl.DTLVardef@1fd0036org.highwire.dtl.DTLVardef@118da3forg.highwire.dtl.DTLVardef@a062c3_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Fast Approach for Structural and Evolutionary Analysis Based on Energetic Profile Protein Comparison 95%
- Frustration in the Protein-Protein interface Plays a Central Role in the Cooperativity of PROTAC Ternary Complexes 95%
- Accurate prediction of protein assembly structure by combining AlphaFold and symmetrical docking 95%
Similar papers in this journal
- Revealing druggable cryptic pockets in the Nsp-1 of SARS-CoV-2 and other β-coronaviruses by simulations and crystallography 95%
- Reliable protein-protein docking with AlphaFold, Rosetta and replica-exchange 95%
- Mutation N501Y in RBD of Spike Protein Strengthens the Interaction between COVID-19 and its Receptor ACE2 94%
Similar papers in this journal
Similar papers in this journal
- Developing a Fully-glycosylated Full-length SARS-CoV-2 Spike Protein Model in a Viral Membrane 95%
- FingerprintContacts: Predicting Alternative Conformations of Proteins from Coevolution 95%
- Role of protonation states in stability of molecular dynamics simulations of high-resolution membrane protein structures 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.