Evidence map›Paper›PMID 37006960›Full record

ArticleBiophysical reports2023

MeltR software provides facile determination of nucleic acid thermodynamics.

Jacob P Sieg, Sebastian J Arteaga, Brent M Znosko, Philip C Bevilacqua

Abstract read
In one paragraph

Article in Biophysical reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Jacob P SiegDepartment of Chemistry, Pennsylvania State University, University Park, Pennsylvania.
Sebastian J ArteagaDepartment of Chemistry, Saint Louis University, Saint Louis, Missouri.
Brent M ZnoskoDepartment of Chemistry, Saint Louis University, Saint Louis, Missouri.
Philip C BevilacquaDepartment of Chemistry, Pennsylvania State University, University Park, Pennsylvania.

Funding

RNA folding and catalysis at the interface of biophysics and genomicsR35GM127064 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PHILIP C BEVILACQUA · 2018 to 2026
$3.4M
Understanding the Thermodynamics and Structure of RNA Secondary Structure MotifsR15GM085699 · NIGMS · SAINT LOUIS UNIVERSITY · PI ZNOSKO, BRENT · 2009 to 2025
$2.0M
NIGMS NIH HHS R15 GM085699NIGMS NIH HHS R35 GM127064
6 · The paper itself

Abstract

Thermodenaturation (melting) curves of macromolecules are used to determine folding thermodynamic parameters. Notably, this insight into RNA and DNA stability underlies nearest neighbor theory and diverse structure prediction tools. Analysis of UV-detected absorbance melting curves is complex and multivariate, requiring many data preprocessing, regression, and error analysis steps. The absorbance melting curve-fitting software MeltWin, introduced in 1996, provided a consistent and facile melting curve analysis platform used in a generation of folding parameters. Unfortunately, MeltWin software is not maintained and relies on idiosyncratic choices of baselines by the user. Herein, we provide MeltR, an open-source, curve-fitting package for analysis of macromolecular thermodynamic data. The MeltR package provides the facile conversion of melting curve data to parameters provided by MeltWin while offering additional features including global fitting of data, auto-baseline generation, and two-state melting analysis. MeltR should be a useful tool for analyzing the next generation of DNA, RNA, and nonnucleic acid macromolecular melting data.

Identifiers

PMID37006960
PMCPMC10064116

What Socratic 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 Socratic graph.