Evidence map›Paper›PMID 36303745›Full record

ArticleFrontiers in bioinformatics2021

VTR: A Web Tool for Identifying Analogous Contacts on Protein Structures and Their Complexes.

Vitor Pimentel, Diego Mariano, Letícia Xavier Silva Cantão, Luana Luiza Bastos, Pedro Fischer, Leonardo Henrique Franca de Lima, Alexandre Victor Fassio, Raquel Cardoso de Melo-Minardi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

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  2. COCFrontiers in bioinformatics · 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

8 authors at 2 institutions in 1 country.

Vitor PimentelLaboratory of Bioinformatics and Systems, Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Diego MarianoLaboratory of Bioinformatics and Systems, Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Letícia Xavier Silva CantãoLaboratory of Bioinformatics and Systems, Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Luana Luiza BastosLaboratory of Bioinformatics and Systems, Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Pedro FischerLaboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Universidade Federal de São João Del-Rei, Sete Lagoas, Brazil.
Leonardo Henrique Franca de LimaLaboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Universidade Federal de São João Del-Rei, Sete Lagoas, Brazil.
Alexandre Victor FassioLaboratory of Bioinformatics and Systems, Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Raquel Cardoso de Melo-MinardiLaboratory of Bioinformatics and Systems, Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Universidade Federal de Minas Gerais · BRFederal University of São João del-Rei · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionarily related proteins can present similar structures but very dissimilar sequences. Hence, understanding the role of the inter-residues contacts for the protein structure has been the target of many studies. Contacts comprise non-covalent interactions, which are essential to stabilize macromolecular structures such as proteins. Here we show VTR, a new method for the detection of analogous contacts in protein pairs. The VTR web tool performs structural alignment between proteins and detects interactions that occur in similar regions. To evaluate our tool, we proposed three case studies: we 1) compared vertebrate myoglobin and truncated invertebrate hemoglobin; 2) analyzed interactions between the spike protein RBD of SARS-CoV-2 and the cell receptor ACE2; and 3) compared a glucose-tolerant and a non-tolerant β-glucosidase enzyme used for biofuel production. The case studies demonstrate the potential of VTR for the understanding of functional similarities between distantly sequence-related proteins, as well as the exploration of important drug targets and rational design of enzymes for industrial applications. We envision VTR as a promising tool for understanding differences and similarities between homologous proteins with similar 3D structures but different sequences. VTR is available at http://bioinfo.dcc.ufmg.br/vtr.

Indexed as

contactsprotein interactionsrational design of enzymesstructural alignmentstructural bioinformatics

Identifiers

PMID36303745
PMCPMC9581016
OpenAlexW3212007560

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.