Evidence map›Paper›PMID 28970888›Full record

ArticleChemical science2017

Quantified electrostatic preorganization in enzymes using the geometry of the electron charge density.

Amanda Morgenstern, Matthew Jaszai, Mark E Eberhart, Anastassia N Alexandrova

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 68 citations in OpenAlex.

  1. Metabolic Structure: A Paradigm Revisited in Light of the Fundamental Parameters of Living Systems.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Predicting Activation Barriers With Ring and Bond Critical Points in the Kemp Elimination Reaction.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. ElectrostaticChemical science · 2022
    Article
  12. Why Monoamine Oxidase B Preferably MetabolizesInternational journal of molecular sciences · 2022
    Article
  13. Advances in optimizing enzyme electrostatic preorganization.Current opinion in structural biology · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Amanda MorgensternMolecular Theory Group , Colorado School of Mines , USA . Email: meberhar@mines.edu.ORCID 0000-0001-9279-0588
Matthew JaszaiMolecular Theory Group , Colorado School of Mines , USA . Email: meberhar@mines.edu.
Mark E EberhartMolecular Theory Group , Colorado School of Mines , USA . Email: meberhar@mines.edu.ORCID 0000-0002-7061-3908
Anastassia N AlexandrovaDepartment of Chemistry and Biochemistry , University of California , Los Angeles , USA . Email: ana@chem.ucla.edu.ORCID 0000-0002-3003-1911
Colorado School of Mines · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrostatic preorganization is thought to be a principle factor responsible for the impressive catalytic capabilities of enzymes. The full protein structure is believed to facilitate catalysis by exerting a highly specific electrostatic field on the active site. Computationally determining the extent of electrostatic preorganization is a challenging process. We propose using the topology and geometry of the electron charge density in the enzyme's active site to asses the effects of electrostatic preorganization. In support of this approach we study the convergence of features of the charge density as the size of the active site model increases in Histone Deacetylase 8. The magnitude of charge density at critical points and most Bader atomic charges are found to converge quickly as more of the protein is included in the simulation. The exact position of critical points however, is found to converge more slowly and be strongly influenced by the protein residues that are further away from the active site. We conjecture that the positions of critical points are affected through perturbations to the wavefunctions in the active site caused by dipole moments from amino acid residues throughout the protein. We further hypothesize that electrostatic preorganization, from the point of view of charge density, can not be easily understood through the charges on atoms or the nature of the bonding interactions, but through the relative positions of critical points that are known to correlate with reactivity and reaction barriers.

Identifiers

PMID28970888
PMCPMC5612031
OpenAlexW2608162931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.