Evidence map›Paper›PMID 29971548›Full record

ArticleJournal of computer-aided molecular design2018

Theoretical models to predict the inhibitory effect of ligands of sphingosine kinase 1 using QTAIM calculations and hydrogen bond dynamic propensity analysis.

Marcela Vettorazzi, Cintia Menéndez, Lucas Gutiérrez, Sebastián Andujar, Gustavo Appignanesi, Ricardo D Enriz

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In one paragraph

Article in Journal of computer-aided molecular design, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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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 at 3 institutions in 1 country.

Marcela VettorazziFacultad de Química, Bioquímica y Farmacia, Universidad Nacional de San Luis, Chacabuco, 915, 5700, San Luis, Argentina.
Cintia MenéndezINQUISUR, Departamento de Química, Universidad Nacional del Sur (UNS)-CONICET, Av. Alem 1253, 8000, Bahía Blanca, Argentina.
Lucas GutiérrezFacultad de Química, Bioquímica y Farmacia, Universidad Nacional de San Luis, Chacabuco, 915, 5700, San Luis, Argentina.
Sebastián AndujarFacultad de Química, Bioquímica y Farmacia, Universidad Nacional de San Luis, Chacabuco, 915, 5700, San Luis, Argentina.
Gustavo AppignanesiINQUISUR, Departamento de Química, Universidad Nacional del Sur (UNS)-CONICET, Av. Alem 1253, 8000, Bahía Blanca, Argentina.
Ricardo D EnrizFacultad de Química, Bioquímica y Farmacia, Universidad Nacional de San Luis, Chacabuco, 915, 5700, San Luis, Argentina. denriz@unsl.edu.ar.
Centro Científico Tecnológico - San Luis · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARNational University of San Luis · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report here the results of two theoretical models to predict the inhibitory effect of inhibitors of sphingosine kinase 1 that stand on different computational basis. The active site of SphK1 is a complex system and the ligands under the study possess a significant conformational flexibility; therefore for our study we performed extended simulations and proper clusterization process. The two theoretical approaches used here, hydrogen bond dynamics propensity analysis and Quantum Theory of Atoms in Molecules (QTAIM) calculations, exhibit excellent correlations with the experimental data. In the case of the hydrogen bond dynamics propensity analysis, it is remarkable that a rather simple methodology with low computational requirements yields results in excellent accord with experimental data. In turn QTAIM calculations are much more computational demanding and are also more complex and tedious for data analysis than the hydrogen bond dynamic propensity analysis. However, this greater computational effort is justified because the QTAIM study, in addition to giving an excellent correlation with the experimental data, also gives us valuable information about which parts or functional groups of the different ligands are those that should be replaced in order to improve the interactions and thereby to increase the affinity for SphK1. Our results indicate that both approaches can be very useful in order to predict the inhibiting effect of new compounds before they are synthesized.

Indexed as

Quantum TheoryCatalytic DomainHydrogen BondingKineticsLigandsMolecular Docking SimulationPhosphotransferases (Alcohol Group Acceptor)Protein BindingProtein Kinase InhibitorsSphingosine KinaseStructure-Activity RelationshipThermodynamicsLigandsPhosphotransferases (Alcohol Group Acceptor)Protein Kinase InhibitorsSphingosine KinaseHydrogen bond dynamic propensity analysisQTAIM calculationsSphingosine kinase inhibitorsTheoretical approaches

Identifiers

PMID29971548
OpenAlexW2810738070

What OpenQuestion holds

Textmetadata
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.