Evidence map›Paper›PMID 35261972›Full record

ArticleNAR genomics and bioinformatics2022

A deterministic code for transcription factor-DNA recognition through computation of binding interfaces.

Marco Trerotola, Laura Antolini, Laura Beni, Emanuela Guerra, Mariano Spadaccini, Damiano Verzulli, Antonino Moschella, Saverio Alberti

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Harnessing regulatory networks in Actinobacteria for natural product discovery.Journal of industrial microbiology & biotechnology · 2024
    Review
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 3 institutions in 1 country.

Marco TrerotolaLaboratory of Cancer Pathology, Center for Advanced Studies and Technology (CAST), University "G. D' Annunzio", Via L. Polacchi 11, 66100 Chieti, Italy.ORCID https://orcid.org/0000-0003-1855-7002
Laura AntoliniCenter for Biostatistics, Department of Clinical Medicine, Prevention and Biotechnology, University of Milano-Bicocca, 20052 Monza, Italy.ORCID https://orcid.org/0000-0003-1040-4191
Laura BeniLaboratory of Cancer Pathology, Center for Advanced Studies and Technology (CAST), University "G. D' Annunzio", Via L. Polacchi 11, 66100 Chieti, Italy.
Emanuela GuerraLaboratory of Cancer Pathology, Center for Advanced Studies and Technology (CAST), University "G. D' Annunzio", Via L. Polacchi 11, 66100 Chieti, Italy.ORCID https://orcid.org/0000-0002-7091-8621
Mariano SpadacciniUnit of Informatics, University "G. d'Annunzio", 66100 Chieti, Italy.
Damiano VerzulliUnit of Informatics, University "G. d'Annunzio", 66100 Chieti, Italy.
Antonino MoschellaUnit of Medical Genetics, Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.ORCID https://orcid.org/0000-0002-0437-9471
Saverio AlbertiLaboratory of Cancer Pathology, Center for Advanced Studies and Technology (CAST), University "G. D' Annunzio", Via L. Polacchi 11, 66100 Chieti, Italy.ORCID https://orcid.org/0000-0002-4647-6042
University of Chieti-Pescara · ITUniversity of Messina · ITUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recognition code between transcription factor (TF) amino acids and DNA bases remains poorly understood. Here, the determinants of TF amino acid-DNA base binding selectivity were identified through the analysis of crystals of TF-DNA complexes. Selective, high-frequency interactions were identified for the vast majority of amino acid side chains ('structural code'). DNA binding specificities were then independently assessed by meta-analysis of random-mutagenesis studies of Zn finger-target DNA sequences. Selective, high-frequency interactions were identified for the majority of mutagenized residues ('mutagenesis code'). The structural code and the mutagenesis code were shown to match to a striking level of accuracy (

Identifiers

PMID35261972
PMCPMC8896162
OpenAlexW4214945379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.