Evidence map›Paper›PMID 30172386›Full record

ArticleBiophysical journal2018

Toward a Universal Structural and Energetic Model for Prokaryotic Promoters.

Akhilesh Mishra, Priyanka Siwach, Pallavi Misra, Bhyravabhotla Jayaram, Manju Bansal, Wilma K Olson, Kelly M Thayer, David L Beveridge

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

8 authors at 7 institutions in 3 countries.

Akhilesh MishraSupercomputing Facility for Bioinformatics & Computational Biology; Kusuma School of Biological Sciences, Indian Institute of Technology, Delhi, India.
Priyanka SiwachSupercomputing Facility for Bioinformatics & Computational Biology; Department of Biotechnology, Chaudhary Devi Lal University, Sirsa, Haryana, India.
Pallavi MisraSupercomputing Facility for Bioinformatics & Computational Biology.
Bhyravabhotla JayaramSupercomputing Facility for Bioinformatics & Computational Biology; Kusuma School of Biological Sciences, Indian Institute of Technology, Delhi, India; Department of Chemistry, Indian Institute of Technology, Delhi, India. Electronic address: bjayaram@chemistry.iitd.ac.in.
Manju BansalMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.
Wilma K OlsonDepartment of Chemistry & Chemical Biology and BioMaPS Institute for Quantitative Biology, Rutgers, Piscataway, New Jersey.
Kelly M ThayerDepartment of Chemistry, Vassar College, Poughkeepsie, New York.
David L BeveridgeDepartments of Chemistry, Molecular Biology, and Biochemistry and Molecular Biophysics Program, Wesleyan University, Middletown, Connecticut.
Indian Institute of Technology Delhi · INChaudhary Devi Lal University · INIndian Institute of Science Bangalore · INNational Center for Supercomputing Applications · BGRutgers, The State University of New Jersey · USVassar College · USWesleyan University · US

Funding

Ensemble Networks for Allosteric Drug DesignR15GM128102 · NIGMS · WESLEYAN UNIVERSITY · PI THAYER, KELLY MARIE · 2018 to 2021
$976k
NIGMS NIH HHS R15 GM128102
6 · The paper itself

Abstract

With almost no consensus promoter sequence in prokaryotes, recruitment of RNA polymerase (RNAP) to precise transcriptional start sites (TSSs) has remained an unsolved puzzle. Uncovering the underlying mechanism is critical for understanding the principle of gene regulation. We attempted to search the hidden code in ∼16,500 promoters of 12 prokaryotes representing two kingdoms in their structure and energetics. Twenty-eight fundamental parameters of DNA structure including backbone angles, basepair axis, and interbasepair and intrabasepair parameters were used, and information was extracted from x-ray crystallography data. Three parameters (solvation energy, hydrogen-bond energy, and stacking energy) were selected for creating energetics profiles using in-house programs. DNA of promoter regions was found to be inherently designed to undergo a change in every parameter undertaken for the study, in all prokaryotes. The change starts from some distance upstream of TSSs and continues past some distance from TSS, hence giving a signature state to promoter regions. These signature states might be the universal hidden codes recognized by RNAP. This observation was reiterated when randomly selected promoter sequences (with little sequence conservation) were subjected to structure generation; all developed into very similar three-dimensional structures quite distinct from those of conventional B-DNA and coding sequences. Fine structural details at important motifs (viz. -11, -35, and -75 positions relative to TSS) of promoters reveal novel to our knowledge and pointed insights for RNAP interaction at these locations; it could be correlated with how some particular structural changes at the -11 region may allow insertion of RNAP amino acids in interbasepair space as well as facilitate the flipping out of bases from the DNA duplex.

Indexed as

Models, GeneticDNA, B-FormDNA-Directed RNA PolymerasesModels, MolecularNucleic Acid ConformationProkaryotic CellsPromoter Regions, GeneticThermodynamicsTranscription Initiation SiteDNA, B-FormDNA-Directed RNA Polymerases

Identifiers

PMID30172386
PMCPMC6170797
OpenAlexW2950541606

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.