Evidence map›Paper›PMID 27446613›Full record

ArticleBiochemistry research international2016

A Bioinformatics Analysis Reveals a Group of MocR Bacterial Transcriptional Regulators Linked to a Family of Genes Coding for Membrane Proteins.

Teresa Milano, Sebastiana Angelaccio, Angela Tramonti, Martino Luigi Di Salvo, Roberto Contestabile, Stefano Pascarella

Abstract read
In one paragraph

Article in Biochemistry research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Extracellular vesicles ofGut microbes · 2025
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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

6 authors.

Teresa MilanoDipartimento di Scienze Biochimiche, Sapienza Università di Roma, 00185 Roma, Italy.
Sebastiana AngelaccioDipartimento di Scienze Biochimiche, Sapienza Università di Roma, 00185 Roma, Italy.ORCID 0000-0003-4371-2422
Angela TramontiDipartimento di Scienze Biochimiche, Sapienza Università di Roma, 00185 Roma, Italy; Istituto di Biologia e Patologia Molecolari, Consiglio Nazionale delle Ricerche, 00185 Roma, Italy.ORCID 0000-0002-5625-1170
Martino Luigi Di SalvoDipartimento di Scienze Biochimiche, Sapienza Università di Roma, 00185 Roma, Italy.ORCID 0000-0003-1233-9338
Roberto ContestabileDipartimento di Scienze Biochimiche, Sapienza Università di Roma, 00185 Roma, Italy.ORCID 0000-0002-5235-9993
Stefano PascarellaDipartimento di Scienze Biochimiche, Sapienza Università di Roma, 00185 Roma, Italy.ORCID 0000-0002-6822-4022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MocR bacterial transcriptional regulators are characterized by an N-terminal domain, 60 residues long on average, possessing the winged-helix-turn-helix (wHTH) architecture responsible for DNA recognition and binding, linked to a large C-terminal domain (350 residues on average) that is homologous to fold type-I pyridoxal 5'-phosphate (PLP) dependent enzymes like aspartate aminotransferase (AAT). These regulators are involved in the expression of genes taking part in several metabolic pathways directly or indirectly connected to PLP chemistry, many of which are still uncharacterized. A bioinformatics analysis is here reported that studied the features of a distinct group of MocR regulators predicted to be functionally linked to a family of homologous genes coding for integral membrane proteins of unknown function. This group occurs mainly in the Actinobacteria and Gammaproteobacteria phyla. An analysis of the multiple sequence alignments of their wHTH and AAT domains suggested the presence of specificity-determining positions (SDPs). Mapping of SDPs onto a homology model of the AAT domain hinted at possible structural/functional roles in effector recognition. Likewise, SDPs in wHTH domain suggested the basis of specificity of Transcription Factor Binding Site recognition. The results reported represent a framework for rational design of experiments and for bioinformatics analysis of other MocR subgroups.

Identifiers

PMID27446613
PMCPMC4944035

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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.