Evidence map›Paper›PMID 38073067›Full record

ArticleCancer biology & therapy2024

Elucidating structural variability in p53 conformers using combinatorial refinement strategies and molecular dynamics.

Md Rimon Parves, Maria J Solares, William J Dearnaley, Deborah F Kelly

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Article in Cancer biology & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Md Rimon ParvesDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.
Maria J SolaresDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.
William J DearnaleyDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.
Deborah F KellyDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-7341-7435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low molecular weight proteins and protein assemblies can now be investigated using cryo-electron microscopy (EM) as a complement to traditional structural biology techniques. It is important, however, to not lose sight of the dynamic information inherent in macromolecules that give rise to their exquisite functionality. As computational methods continue to advance the field of biomedical imaging, so must strategies to resolve the minute details of disease-related entities. Here, we employed combinatorial modeling approaches to assess flexible properties among low molecular weight proteins (~100 kDa or less). Through a blend of rigid body refinement and simulated annealing, we determined new hidden conformations for wild type p53 monomer and dimer forms. Structures for both states converged to yield new conformers, each revealing good stereochemistry and dynamic information about the protein. Based on these insights, we identified fluid parts of p53 that complement the stable central core of the protein responsible for engaging DNA. Molecular dynamics simulations corroborated the modeling results and helped pinpoint the more flexible residues in wild type p53. Overall, the new computational methods may be used to shed light on other small protein features in a vast ensemble of structural data that cannot be easily delineated by other algorithms.

Indexed as

Molecular Dynamics SimulationTumor Suppressor Protein p53Cryoelectron MicroscopyHumansTumor Suppressor Protein p53cryo-electron microscopy (EM)molecular dynamicsp53real-space refinementsimulated annealingTumor suppressor protein

Identifiers

PMID38073067
PMCPMC10732606

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