Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agents

Osteoanabolic agents, or drugs that promote bone formation, have gained considerable attention for osteoporosis management due to their curative and preventive potentials. Sphingosine-1-phosphate receptor 2 (S1PR2) is an attractive drug target, in which its activation leads to osteogenesis-promoting...

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Main Authors: Rattanawan Tangporncharoen, Chuleeporn Phanus-Umporn, Supaluk Prachayasittikul, Chanin Nantasenamat, Veda Prachayasittikul, Aungkura Supokawej
Format: Article
Language:English
Published: IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund 2024-05-01
Series:EXCLI Journal : Experimental and Clinical Sciences
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Online Access:https://www.excli.de/excli/article/view/7214
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author Rattanawan Tangporncharoen
Chuleeporn Phanus-Umporn
Supaluk Prachayasittikul
Chanin Nantasenamat
Veda Prachayasittikul
Aungkura Supokawej
author_facet Rattanawan Tangporncharoen
Chuleeporn Phanus-Umporn
Supaluk Prachayasittikul
Chanin Nantasenamat
Veda Prachayasittikul
Aungkura Supokawej
author_sort Rattanawan Tangporncharoen
collection DOAJ
description Osteoanabolic agents, or drugs that promote bone formation, have gained considerable attention for osteoporosis management due to their curative and preventive potentials. Sphingosine-1-phosphate receptor 2 (S1PR2) is an attractive drug target, in which its activation leads to osteogenesis-promoting effect. Nitrogen-containing heterocyclic scaffolds (i.e., quinoxaline and indole) are promising pharmacophores possessing diverse bioactivities and were reported as S1PR2 activators. Quantitative structure-activity relationship (QSAR) modeling is a computational approach well-known as a fundamental tool for facilitating successful drug development. This study demonstrates the discovery of new S1PR2 activators using computational-driven rational design. Herein, an original dataset of nitrogen-containing S1PR2 activators was collected from ChEMBL database. The retrieved dataset was separated into two datasets according to their core scaffolds (i.e., quinoxaline and indole). QSAR modeling was performed using multiple linear regression (MLR) algorithm to successfully obtain two models with good predictive performance. The constructed models also revealed key properties playing essential roles for potent S1PR2 activation, such as Van der Waals volume (R2v+ and E3v), mass (MATS5m and Km), electronegativity (H3e), and number of 5-membered rings (nR05). Subsequently, the constructed models were further employed to guide rational design and predict S1PR2 activating effects of an additional set of 752 structurally modified compounds. Most of the modified compounds were predicted to have higher potency than their parents, and a set of promising potent newly designed compounds was highlighted. Additionally, drug-likeness prediction was performed to reveal that most of the newly designed compounds are druggable compounds with possibility for further development.
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spelling doaj-art-a6ea64278c934e00bebecaf4fa3994a52025-08-20T02:10:32ZengIfADo - Leibniz Research Centre for Working Environment and Human Factors, DortmundEXCLI Journal : Experimental and Clinical Sciences1611-21562024-05-012381883210.17179/excli2024-72146653Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agentsRattanawan Tangporncharoen0https://orcid.org/0000-0003-3100-3100Chuleeporn Phanus-Umporn1https://orcid.org/0000-0001-5439-8462Supaluk Prachayasittikul2https://orcid.org/0000-0002-5395-396XChanin Nantasenamat3https://orcid.org/0000-0003-1040-663XVeda Prachayasittikul4https://orcid.org/0000-0001-6338-3721Aungkura Supokawej5https://orcid.org/0000-0002-3979-873XDepartment of Clinical Microscopy, Faculty of Medical Technology, Mahidol University, Bangkok 10700, ThailandDepartment of Community Medical Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, ThailandCenter for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, ThailandStreamlit Inc., San Francisco, CA 94121, USACenter for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand. Phone: +66(0)2 441 4371-5 Ext. 2726; Fax: +66(0)2 441 4380; E-mail: veda.pra@mahidol.ac.thDepartment of Clinical Microscopy, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand. Phone: +66(0)2 441 4371-5 Ext. 2723; Fax: +66(0)2 441 4380; E-mail: aungkura.jer@mahidol.ac.thOsteoanabolic agents, or drugs that promote bone formation, have gained considerable attention for osteoporosis management due to their curative and preventive potentials. Sphingosine-1-phosphate receptor 2 (S1PR2) is an attractive drug target, in which its activation leads to osteogenesis-promoting effect. Nitrogen-containing heterocyclic scaffolds (i.e., quinoxaline and indole) are promising pharmacophores possessing diverse bioactivities and were reported as S1PR2 activators. Quantitative structure-activity relationship (QSAR) modeling is a computational approach well-known as a fundamental tool for facilitating successful drug development. This study demonstrates the discovery of new S1PR2 activators using computational-driven rational design. Herein, an original dataset of nitrogen-containing S1PR2 activators was collected from ChEMBL database. The retrieved dataset was separated into two datasets according to their core scaffolds (i.e., quinoxaline and indole). QSAR modeling was performed using multiple linear regression (MLR) algorithm to successfully obtain two models with good predictive performance. The constructed models also revealed key properties playing essential roles for potent S1PR2 activation, such as Van der Waals volume (R2v+ and E3v), mass (MATS5m and Km), electronegativity (H3e), and number of 5-membered rings (nR05). Subsequently, the constructed models were further employed to guide rational design and predict S1PR2 activating effects of an additional set of 752 structurally modified compounds. Most of the modified compounds were predicted to have higher potency than their parents, and a set of promising potent newly designed compounds was highlighted. Additionally, drug-likeness prediction was performed to reveal that most of the newly designed compounds are druggable compounds with possibility for further development.https://www.excli.de/excli/article/view/7214sphingosine-1-phosphate activatorsquantitative structure-activity relationshipcomputer-aided drug designosteoanabolicquinoxalinesindoles
spellingShingle Rattanawan Tangporncharoen
Chuleeporn Phanus-Umporn
Supaluk Prachayasittikul
Chanin Nantasenamat
Veda Prachayasittikul
Aungkura Supokawej
Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agents
EXCLI Journal : Experimental and Clinical Sciences
sphingosine-1-phosphate activators
quantitative structure-activity relationship
computer-aided drug design
osteoanabolic
quinoxalines
indoles
title Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agents
title_full Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agents
title_fullStr Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agents
title_full_unstemmed Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agents
title_short Computer-guided design of novel nitrogen-based heterocyclic sphingosine-1-phosphate (S1P) activators as osteoanabolic agents
title_sort computer guided design of novel nitrogen based heterocyclic sphingosine 1 phosphate s1p activators as osteoanabolic agents
topic sphingosine-1-phosphate activators
quantitative structure-activity relationship
computer-aided drug design
osteoanabolic
quinoxalines
indoles
url https://www.excli.de/excli/article/view/7214
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