Conformational Dynamics of Supramolecular Protein Assemblies in the EMDB
Do-Nyun Kim, Cong-Tri Nguyen, Mark Bathe

TL;DR
This paper introduces an unsupervised computational framework using normal mode analysis to analyze and visualize the conformational dynamics of supramolecular protein assemblies in the EMDB, enhancing understanding of their biological functions.
Contribution
It presents a novel method for analyzing conformational dynamics of EMDB entries using finite element normal mode analysis, with results validated against all-atom models.
Findings
Analyzed 452 EMDB entries for conformational dynamics.
Validated results with all-atom models.
Provided detailed dynamics for hepatitis B capsid, RF2, and GroEL.
Abstract
The Electron Microscopy Data Bank (EMDB) is a rapidly growing repository for the dissemination of structural data from single-particle reconstructions of supramolecular protein assemblies including motors, chaperones, cytoskeletal assemblies, and viral capsids. While the static structure of these assemblies provides essential insight into their biological function, their conformational dynamics and mechanics provide additional important information regarding the mechanism of their biological function. Here, we present an unsupervised computational framework to analyze and store for public access the conformational dynamics of supramolecular protein assemblies deposited in the EMDB. Conformational dynamics are analyzed using normal mode analysis in the finite element framework, which is used to compute equilibrium thermal fluctuations, cross-correlations in molecular motions, and strain…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRNA and protein synthesis mechanisms · Enzyme Structure and Function · Protein Structure and Dynamics
