QSAR Modeling and Biological Testing of Some 15-LOX Inhibitors in a Series of Homo- and Heterocyclic Compounds

This paper examines the quantitative structure-inhibitory activity relationship of 15-lipoxygenase (15-LOX) in sets of 100 homo- and heterocyclic compounds using GUSAR 2019 software. Statistically significant valid models were built to predict the IC50 parameter. A combination of MNA and QNA descriptors with three whole molecular descriptors (topological length, topological volume and lipophilicity) was used to develop 18 statistically significant, valid consensus QSAR models. These compounds showed varying degrees of inhibition of the catalytic activity of 15-LOX: the range of variation in the pIC<sub>50</sub> value was 3.873. The satisfactory coincidence between the theoretically calculated and experimentally determined pIC<sub>50</sub> values for compounds TS1, TS2 and <b>1-8</b> suggests the potential use of models M1-M18 for the virtual screening of virtual libraries and databases to find new potentially efficient inhibitors of 15-LOX.

Authors

Institutions

Publication Details

Journal
Molecules
Published
2024-11-23
DOI
https://doi.org/10.3390/molecules29235540
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

QSAR Modeling and Biological Testing of Some 15-LOX Inhibitors in a Series of Homo- and Heterocyclic Compounds

Matvey Kanevskiy, Yuliya Martynova, В. Р. Хайруллина, L. A. Maksimov et al.
2 citations
Molecules
Computational Drug Discovery Methods
0.72
article

QSAR Modeling and Biological Testing of Some 15-LOX Inhibitors in a Series of Homo- and Heterocyclic Compounds

Matvey Kanevskiy, Yuliya Martynova, В. Р. Хайруллина, L. A. Maksimov, I. V. Kanevskaya, Yurii Zimin
article en
2 citations

Abstract

This paper examines the quantitative structure-inhibitory activity relationship of 15-lipoxygenase (15-LOX) in sets of 100 homo- and heterocyclic compounds using GUSAR 2019 software. Statistically significant valid models were built to predict the IC50 parameter. A combination of MNA and QNA descriptors with three whole molecular descriptors (topological length, topological volume and lipophilicity) was used to develop 18 statistically significant, valid consensus QSAR models. These compounds showed varying degrees of inhibition of the catalytic activity of 15-LOX: the range of variation in the pIC<sub>50</sub> value was 3.873. The satisfactory coincidence between the theoretically calculated and experimentally determined pIC<sub>50</sub> values for compounds TS1, TS2 and <b>1-8</b> suggests the potential use of models M1-M18 for the virtual screening of virtual libraries and databases to find new potentially efficient inhibitors of 15-LOX.

MoleculesVol. 29(23)
Saratov State University (RU)
Russian Science Foundation
Openalex Percentile: Top 25%
Computational Drug Discovery Methods
0.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

QSAR Modeling and Biological Testing of Some 15-LOX Inhibitors in a Series of Homo- and Heterocyclic Compounds — Matvey Kanevskiy, Yuliya Martynova, et al. · Molecules (2024) | TGRS Research Map | TGRS