Evidence map›Paper›PMID 41048731›Full record

ArticleACS omega2025

Structural Modeling of NTPDase-Substrate Complexes Preserving Catalytic Experimental Features.

João Victor B de Moraes, Marcelo D Polêto, Raissa B de Castro, Gustavo C Bressan, Raphael de S Vasconcellos, Jean Sévigny, Juliana R Fietto

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Article in ACS omega, 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

João Victor B de MoraesGeneral Biology Department, Universidade Federal de Viçosa, Viçosa, Minas Gerais 36570 900, Brazil.
Marcelo D PolêtoDepartment of Biotechnology, Universidade de São Paulo, Lorena, São Paulo 12602-810, Brazil.ORCID https://orcid.org/0000-0001-9210-690X
Raissa B de CastroBiochemistry and Molecular Biology Department, Universidade Federal de Viçosa, 36570 900 Viçosa, Minas Gerais Brazil.
Gustavo C BressanBiochemistry and Molecular Biology Department, Universidade Federal de Viçosa, 36570 900 Viçosa, Minas Gerais Brazil.ORCID https://orcid.org/0000-0002-9741-4554
Raphael de S VasconcellosBiochemistry and Molecular Biology Department, Universidade Federal de Viçosa, 36570 900 Viçosa, Minas Gerais Brazil.ORCID https://orcid.org/0000-0002-5064-052X
Jean SévignyDépartement de Microbiologie-Infectiologie et d'immunologie, Centres PROTEO et ARThrite, Université Laval, Faculté de Médecine, Quebec city, QC G1 V 0A6, Canada.ORCID https://orcid.org/0000-0003-2922-1600
Juliana R FiettoBiochemistry and Molecular Biology Department, Universidade Federal de Viçosa, 36570 900 Viçosa, Minas Gerais Brazil.ORCID https://orcid.org/0000-0001-6122-1710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Members of the ecto-nucleoside triphosphate diphosphohydrolase (E-NTPDase) family play a pivotal role in hydrolyzing nucleoside triphosphates and diphosphates, modulating purinergic and pyrimidinergic signaling pathways. The NTPDases have therapeutic potential; gaining structural insights into NTPDase-substrate complexes would be valuable for optimizing these enzymes for therapeutic applications. However, such insights remain limited, posing challenges for effective optimization. Molecular docking often fails to capture experimentally characterized substrate conformations, leading to biologically irrelevant models. To address this, we developed a computational strategy that preserves experimentally observed substrate features while leveraging the active site's conservation across NTPDases. Our method identifies a canonical linear-like substrate conformation encompassing the phosphate tail and nucleobase ring conserved across experimental NTPDase structures. This approach enabled the modeling of

Identifiers

PMID41048731
PMCPMC12489842

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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.