Evidence map›Paper›PMID 23878223›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Experimental and computational analysis of the transition state for ribonuclease A-catalyzed RNA 2'-O-transphosphorylation.

Hong Gu, Shuming Zhang, Kin-Yiu Wong, Brian K Radak, Thakshila Dissanayake, Daniel L Kellerman, Qing Dai, Masaru Miyagi, Vernon E Anderson, Darrin M York and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Article
  2. Transition State Analysis of SAMHD1 from PrimaryJournal of the American Chemical Society · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. QDπ: A Quantum Deep Potential Interaction Model for Drug Discovery.Journal of chemical theory and computation · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Organic & biomolecular chemistry · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

12 authors.

Hong GuDepartment of Biochemistry, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Shuming Zhang
Kin-Yiu Wong
Brian K Radak
Thakshila Dissanayake
Daniel L Kellerman
Qing Dai
Masaru Miyagi
Vernon E Anderson
Darrin M York
Joseph A Piccirilli
Michael E Harris

Funding

Multi-Scale Quantum Models for Ribozyme CatalysisR01GM062248 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Darrin M York · 2001 to 2026
$7.1M
GRADUATE TRAINING IN CELLULAR AND MOLECULAR BIOLOGYT32GM008056 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI DIEHL, JOHN ALAN, SNIDER, MARTIN D · 1985 to 2019
$7.1M
Mechanistic Enzymology of Phosphoryl Transfer EnzymesR01GM096000 · NIGMS · UNIVERSITY OF FLORIDA · PI HARRIS, MICHAEL E. · 2011 to 2017
$1.9M
Investigating the Catalytic Mechanism of the HDV RibozymeR01AI081987 · NIAID · UNIVERSITY OF CHICAGO · PI PICCIRILLI, JOSEPH ANTHONY · 2010 to 2014
$1.8M
Investigating the Catalytic Mechanism of the HDV RibozymeR56AI081987 · NIAID · UNIVERSITY OF CHICAGO · PI PICCIRILLI, JOSEPH ANTHONY · 2009 to 2009
$385k
NIAID NIH HHS AI081987NIAID NIH HHS R01 AI081987NIAID NIH HHS R56 AI081987NIGMS NIH HHS GM064288NIGMS NIH HHS GM096000NIGMS NIH HHS R01 GM062248NIGMS NIH HHS R01 GM096000NIGMS NIH HHS T32 GM008056NIGMS NIH HHS T32-GM008056
6 · The paper itself

Abstract

Enzymes function by stabilizing reaction transition states; therefore, comparison of the transition states of enzymatic and nonenzymatic model reactions can provide insight into biological catalysis. Catalysis of RNA 2'-O-transphosphorylation by ribonuclease A is proposed to involve electrostatic stabilization and acid/base catalysis, although the structure of the rate-limiting transition state is uncertain. Here, we describe coordinated kinetic isotope effect (KIE) analyses, molecular dynamics simulations, and quantum mechanical calculations to model the transition state and mechanism of RNase A. Comparison of the (18)O KIEs on the 2'O nucleophile, 5'O leaving group, and nonbridging phosphoryl oxygens for RNase A to values observed for hydronium- or hydroxide-catalyzed reactions indicate a late anionic transition state. Molecular dynamics simulations using an anionic phosphorane transition state mimic suggest that H-bonding by protonated His12 and Lys41 stabilizes the transition state by neutralizing the negative charge on the nonbridging phosphoryl oxygens. Quantum mechanical calculations consistent with the experimental KIEs indicate that expulsion of the 5'O remains an integral feature of the rate-limiting step both on and off the enzyme. Electrostatic interactions with positively charged amino acid site chains (His12/Lys41), together with proton transfer from His119, render departure of the 5'O less advanced compared with the solution reaction and stabilize charge buildup in the transition state. The ability to obtain a chemically detailed description of 2'-O-transphosphorylation transition states provides an opportunity to advance our understanding of biological catalysis significantly by determining how the catalytic modes and active site environments of phosphoryl transferases influence transition state structure.

Indexed as

Molecular Dynamics SimulationNucleic Acid ConformationProtein Structure, TertiaryBiocatalysisEsterificationKineticsModels, ChemicalModels, MolecularMolecular StructureOxygen IsotopesPhosphorylationRibonuclease, PancreaticRNAOxygen IsotopesRibonuclease, PancreaticRNA

Identifiers

PMID23878223
PMCPMC3740856

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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.