Inter-Subunit Dynamics Controls Tunnel Formation During the Oxygenation Process in Hemocyanin Hexamers

Khair Bux, Xiayu Shen, Muhammad Tariq, Junqi Yin, Syed Tarique Moin, Debsindhu Bhowmik, Shozeb Haider

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Hemocyanin from horseshoe crab in its active form is a homo-hexameric protein. It exists in open and closed conformations when transitioning between deoxygenated and oxygenated states. Here, we present a detailed dynamic atomistic investigation of the oxygenated and deoxygenated states of the hexameric hemocyanin using explicit solvent molecular dynamics simulations. We focus on the variation in solvent cavities and the formation of tunnels in the two conformational states. By employing principal component analysis and CVAE-based deep learning, we are able to differentiate between the dynamics of the deoxy- and oxygenated states of hemocyanin. Finally, our results identify the deoxygenated open conformation, which adopts a stable, closed conformation after the oxygenation process.

Original languageEnglish
Article number710623
JournalFrontiers in Molecular Biosciences
Volume8
DOIs
StatePublished - Sep 15 2021

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under contract number DEAC05-00OR22725. This research is sponsored in part by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract no. DE-AC05-00OR22725.

FundersFunder number
U.S. Department of Energy
Office of Science
Advanced Scientific Computing ResearchDEAC05-00OR22725
Advanced Scientific Computing Research
Oak Ridge National LaboratoryDE-AC05-00OR22725
Oak Ridge National Laboratory

    Keywords

    • copper
    • deep learning
    • hemocyanin
    • metalloprotein
    • molecular dynamics

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