Evidence map›Paper›PMID 18566190›Full record

ArticleRNA (New York, N.Y.)2008

Electrostatic interactions in the hairpin ribozyme account for the majority of the rate acceleration without chemical participation by nucleobases.

Kwangho Nam, Jiali Gao, Darrin M York

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Kwangho NamDepartment of Chemistry and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455-0431, USA.
Jiali Gao
Darrin M York
University of Minnesota · US

Funding

Multi-Scale Quantum Models for Ribozyme CatalysisR01GM062248 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Darrin M York · 2001 to 2026
$7.1M
BIOMOLECULAR INTERACTIONS AND ENZYMATIC PROCESSESR01GM046736 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JIALI GAO · 1993 to 2026
$6.5M
BIOMOLECULAR INTERACTIONS AND ENZYMATIC PROCESSESR55GM046736 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI GAO, JIALI · 1992 to 1992
–
NIGMS NIH HHS GM46736NIGMS NIH HHS GM62248NIGMS NIH HHS R01 GM046736NIGMS NIH HHS R01 GM062248
6 · The paper itself

Abstract

Molecular dynamics simulations using a combined quantum mechanical/molecular mechanical potential are used to determine the two-dimensional free energy profiles for the mechanism of RNA transphosphorylation in solution and catalyzed by the hairpin ribozyme. A mechanism is explored whereby the reaction proceeds without explicit chemical participation by conserved nucleobases in the active site. The ribozyme lowers the overall free energy barrier by up to 16 kcal/mol, accounting for the majority of the observed rate enhancement. The barrier reduction in this mechanism is achieved mainly by the electrostatic environment provided by the ribozyme without recruitment of active site nucleobases as acid or base catalysts. The results establish a baseline mechanism that invokes only the solvation and specific hydrogen-bonding interactions present in the ribozyme active site and provide a departure point for the exploration of alternate mechanisms where nucleobases play an active chemical role.

Indexed as

AnimalsComputer SimulationModels, ChemicalNucleic Acid ConformationPhosphorylationRNARNA, CatalyticStatic ElectricityStructure-Activity RelationshipThermodynamicshairpin ribozymeRNARNA, Catalytic

Identifiers

PMID18566190
PMCPMC2491468
OpenAlexW2133371563

What OpenQuestion holds

Textmetadata
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.