Evidence map›Paper›PMID 38987418›Full record

ArticleScientific reports2024

In silico studies of the open form of human tissue transglutaminase.

S D Ivashchenko, D A Shulga, V D Ivashchenko, E V Zinovev, A V Vlasov

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

1 citing paper in PubMed.

  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

5 authors.

S D IvashchenkoMoscow Institute of Physics and Technology, Dolgoprudny, Russia, 141701.
D A ShulgaDepartment of Chemistry, Moscow State University, Moscow, Russia, 119991.
V D IvashchenkoMoscow Institute of Physics and Technology, Dolgoprudny, Russia, 141701.
E V ZinovevMoscow Institute of Physics and Technology, Dolgoprudny, Russia, 141701.
A V VlasovMoscow Institute of Physics and Technology, Dolgoprudny, Russia, 141701. aleksei.vlasov@phystech.edu.

Funding

Ministry of Science and Higher Education of the Russian Federation FSMF-2023-0010
6 · The paper itself

Abstract

Human tissue transglutaminase (tTG) is an intriguing multifunctional enzyme involved in various diseases, including celiac disease and neurological disorders. Although a number of tTG inhibitors have been developed, the molecular determinants governing ligand binding remain incomplete due to the lack of high-resolution structural data in the vicinity of its active site. In this study, we obtained the complete high-resolution model of tTG by in silico methods based on available PDB structures. We discovered significant differences in the active site architecture between our and known tTG models, revealing an additional loop which affects the ligand binding affinity. We assembled a library of new potential tTG inhibitors based on the obtained complete model of the enzyme. Our library substantially expands the spectrum of possible drug candidates targeting tTG and encompasses twelve molecular scaffolds, eleven of which are novel and exhibit higher binding affinity then already known ones, according to our in silico studies. The results of this study open new directions for structure-based drug design of tTG inhibitors, offering the complete protein model and suggesting a wide range of new compounds for further experimental validation.

Indexed as

Catalytic DomainGTP-Binding ProteinsProtein Glutamine gamma Glutamyltransferase 2TransglutaminasesComputer SimulationEnzyme InhibitorsHumansLigandsModels, MolecularMolecular Docking SimulationProtein BindingProtein ConformationEnzyme InhibitorsGTP-Binding ProteinsLigandsProtein Glutamine gamma Glutamyltransferase 2Transglutaminases

Identifiers

PMID38987418
PMCPMC11236986

What Socratic holds

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Registered trials

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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 Socratic graph.