Covalent Docking for Novel Series of Spiro-butenolides on Trx R1 for QSAR Modelling

Background The biological activity of the new series of 1'H,5H-spiro[furan-2,4'-isoquinoline]-1',3',5(2'H)-triones and their selectivity for selenocysteine inspired us to create a QSAR model for design new thioredoxin reductase inhibitors. Method Pharmacophore modelling, QSAR and PLS, Molecular descriptor calculation Results The article provides an example of an analysis of the dependence of molecular descriptors and their relationship with the results of covalent docking for thioredoxin reductase. The constructed model makes it possible to predict the activity and selectivity of new electron-deficient olefins towards thioredoxin reductase. Conclusion A small set of molecular descriptors of shape, charges on carbon atoms and energy values of molecular orbitals makes it possible to quickly calculate the concentration of half-inhibition of thioredoxin reductase and allows the selection of molecules for subsequent synthesis.

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Publication Details

Journal
The Open Medicinal Chemistry Journal
Published
2024-09-05
DOI
https://doi.org/10.2174/0118741045322069240730073553
Primary Topic
Free Radicals and Antioxidants
Type
article
Field-Weighted Citation Impact
0.00

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article

Covalent Docking for Novel Series of Spiro-butenolides on Trx R1 for QSAR Modelling

Evgeny Chupakhin, Veronika Anokhova, Dmitry Dar In, Alexander Zozulya
The Open Medicinal Chemistry Journal
Free Radicals and Antioxidants
article

Covalent Docking for Novel Series of Spiro-butenolides on Trx R1 for QSAR Modelling

Evgeny Chupakhin, Veronika Anokhova, Dmitry Dar In, Alexander Zozulya
article en

Abstract

Background The biological activity of the new series of 1'H,5H-spiro[furan-2,4'-isoquinoline]-1',3',5(2'H)-triones and their selectivity for selenocysteine inspired us to create a QSAR model for design new thioredoxin reductase inhibitors. Method Pharmacophore modelling, QSAR and PLS, Molecular descriptor calculation Results The article provides an example of an analysis of the dependence of molecular descriptors and their relationship with the results of covalent docking for thioredoxin reductase. The constructed model makes it possible to predict the activity and selectivity of new electron-deficient olefins towards thioredoxin reductase. Conclusion A small set of molecular descriptors of shape, charges on carbon atoms and energy values of molecular orbitals makes it possible to quickly calculate the concentration of half-inhibition of thioredoxin reductase and allows the selection of molecules for subsequent synthesis.

The Open Medicinal Chemistry JournalVol. 18(1)
Immanuel Kant Baltic Federal University (RU), St Petersburg University (RU)
Russian Science Foundation
Openalex Percentile: Top 89%
Free Radicals and Antioxidants
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