PreprintCited by 3Protein Structure and DynamicsEnzyme Structure and FunctionRNA and protein synthesis mechanisms

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Torsion angles to map and visualize the conformational space of a protein

Open access
Ginn, Helen Mary·2022·bioRxiv (Cold Spring Harbor Laboratory)

Preprint — published as 10.1002/pro.4608 · Paper page

Abstract

1 Present understanding of protein structure dynamics trails behind that of static structures. A torsionangle based approach, called representation of protein entities (RoPE), derives an interpretable conformational space which correlates with data collection temperature, resolution and reaction coordinate. For more complex systems, atomic coordinates fail to separate functional conformational states, which are still preserved by torsion angle-derived space. This indicates that torsion angles are often a more sensitive and biologically relevant descriptor for protein conformational dynamics than atomic coordinates.

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Metadata

Authors
Ginn, H. M.
Affiliations
Diamond Light Source (GB)
Corresponding author
Ginn, Helen Mary
Venue
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Published
2022-08-05
OpenAlex
W4289874659
Cited by
3
References
1
Citations by year
2025: 1 · 2024: 2
Type
posted content
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Desy publication database (The Deutsches Elektronen-Synchrotron) (submittedVersion, cc-by)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
dihedral angle, protein conformational space, protein conformational dynamics, conformational states, reaction coordinate, temperature dependence, resolution dependence, protein structure visualization

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