Evidence map›Paper›PMID 33315228›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2021

Cooperativity and Allostery in RNA Systems.

Alla Peselis, Alexander Serganov

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Alla PeselisDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY, USA.
Alexander SerganovDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY, USA. alexander.serganov@nyulangone.org.
New York University · US

Funding

Molecular Basis for mRNA Decay in Bacteria - summer supplementR01GM112940 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SERGANOV, ALEXANDER · 2015 to 2023
$3.2M
Mechanism of lnRNA mediated activation of transcriptionF31GM119357 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PESELIS, ALLA ALEXANDRA · 2017 to 2018
$89k
NIGMS NIH HHS F31 GM119357NIGMS NIH HHS R01 GM112940
6 · The paper itself

Abstract

Allostery is among the most basic biological principles employed by biological macromolecules to achieve a biologically active state in response to chemical cues. Although initially used to describe the impact of small molecules on the conformation and activity of protein enzymes, the definition of this term has been significantly broadened to describe long-range conformational change of macromolecules in response to small or large effectors. Such a broad definition could be applied to RNA molecules, which do not typically serve as protein-free cellular enzymes but fold and form macromolecular assemblies with the help of various ligand molecules, including ions and proteins. Ligand-induced allosteric changes in RNA molecules are often accompanied by cooperative interactions between RNA and its ligand, thus streamlining the folding and assembly pathways. This chapter provides an overview of the interplay between cooperativity and allostery in RNA systems and outlines methods to study these two biological principles.

Indexed as

Allosteric RegulationNucleic Acid ConformationProtein BindingRNARNA-Binding ProteinsRNA FoldingThermodynamicsRNARNA-Binding ProteinsConformational changeRNA cooperativityThermodynamics

Identifiers

PMID33315228
OpenAlexW3112129533

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.