ArticleActa crystallographica. Section D, Structural biology2022
Theoretical 3D electron diffraction electrostatic potential maps of proteins modeled with a multipolar pseudoatom data bank.
Article in Acta crystallographica. Section D, Structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- From atoms to a data bank: optimizing transferability of electron-density symmetry.Acta crystallographica. Section A, Foundations and advances · 2026Article
- Measurement of atomic scattering factors by cryoelectron microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
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- Towards expansion of the MATTS data bank with heavier elements: the influence of the wavefunction basis set on the multipole model derived from the wavefunction.Journal of applied crystallography · 2024Article
- Current developments and trends in quantum crystallography.Acta crystallographica Section B, Structural science, crystal engineering and materials · 2024Article
- Exploiting the full potential of cryo-EM maps.BBA advances · 2024Article
- Multipolar Atom Types from Theory and Statistical Clustering (MATTS) Data Bank: Impact of Surrounding Atoms on Electron Density from Cluster Analysis.Journal of chemical information and modeling · 2022Article
- Multipolar Atom Types from Theory and Statistical Clustering (MATTS) Data Bank: Restructurization and Extension of UBDB.Journal of chemical information and modeling · 2022Article
- Electron density is not spherical: the many applications of the transferable aspherical atom model.Computational and structural biotechnology journal · 2022Review
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3 authors.
Funding
Abstract
The availability of atomic resolution experimental maps of electrostatic potential from 3D electron diffraction (3D ED) extends the possibility of investigating the electrostatic potential beyond the determination of non-H-atom positions. However, accurate tools to calculate this potential for macromolecules, without the use of expensive quantum calculations, are lacking. The University at Buffalo Data Bank (UBDB) gathers atom types that can be used to calculate accurate electrostatic potential maps via structure-factor calculations. Here, the transferable aspherical atom model (TAAM) is applied with UBDB to investigate theoretically obtained electrostatic potential maps of lysozyme and proteinase K, and compare them with experimental maps from 3D ED. UBDB better reproduces the molecular electrostatic potential of molecules within their entire volume compared with the neutral spherical models used in the popular independent atom model (IAM). Additionally, the theoretical electron-density maps of the studied proteins are shown and compared with the electrostatic potential maps. The atomic displacement parameters (B factors) may affect the electrostatic potential maps in a different way than in the case of electron-density maps. The computational method presented in this study could potentially facilitate the interpretation of the less resolved regions of cryo-electron microscopy density maps and pave the way for distinguishing between different ions/water molecules in the active sites of macromolecules in high-resolution structures, which is of interest for drug-design purposes.
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