In one paragraphArticle in Research square, 2025. 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
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
10 authors.
Or SzekelyDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0002-9502-9337 Yeongjoon LeeDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
Atul K RangaduraiDepartment of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA.
Serafima GusevaDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
Joshua CookseyDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.ORCID 0009-0004-5787-6502 Edgar M FaisonDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Nikita ZalenskiDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL 32306, USA.ORCID 0009-0001-8339-8100 Qi ZhangDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-1754-4058 Zucai SuoDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL 32306, USA.ORCID 0000-0003-3871-3420 Hashim M Al-HashimiDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-0681-1747 Funding
Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5MTR&D4: Integrated pipeline for data analysisP41GM118302 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI PALMER, ARTHUR G · 2017 to 2021
$8.5MRM1 Center on Macromolecular Dynamics by NMR Spectroscopy at the New York Structural Biology Center (CoMD/NMR)- Equipment Supplement RequestRM1GM145397 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI ARTHUR G PALMER · 2022 to 2026
$8.3MRole of DNA structural dynamics in mutagenesis and oncogenesisR01GM089846 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Hashim M Al-Hashimi · 2010 to 2026
$5.2MRiboswitch Dynamics at Atomic ResolutionR01GM114432 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZHANG, QI · 2015 to 2024
$3.0M475 MHz NMR SpectrometerS10OD023499 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PALMER, ARTHUR G · 2017 to 2017
$925kUpgrade of 800 MHz SpectrometerS10OD016432 · OD · NEW YORK STRUCTURAL BIOLOGY CENTER · PI PALMER, ARTHUR G · 2014 to 2014
$600kAcquisition of an 800 MHz TXO CryoProbeS10OD028577 · OD · NEW YORK STRUCTURAL BIOLOGY CENTER · PI PALMER, ARTHUR G · 2020 to 2020
$299kNCI NIH HHS P30 CA016086NIGMS NIH HHS P41 GM118302NIGMS NIH HHS R01 GM089846NIGMS NIH HHS R01 GM114432NIGMS NIH HHS RM1 GM145397NIH HHS S10 OD016432NIH HHS S10 OD023499NIH HHS S10 OD028577
6 · The paper itselfAbstract
Rare and short-lived DNA conformations are proposed to be key drivers of mutagenesis, yet assessing their contribution to mutational signatures found in human cancers remains challenging. Here, we developed an approach that quantifies the sequence-dependent propensity to form a rare DNA conformation and compares the resulting fingerprint against cancer mutational signatures. Using
Indexed as
19F NMRaniondeprotonationDNA damageDNA dynamicsHoogsteenmismatchespKa
Identifiers
PMID41333427
PMCPMC12668128
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