Multitarget Drug Design for Cardiovascular Disease: Bridging Chemistry and Medicine

This review provides an overview of recent advances in the development of multitarget drugs (MTDs) for cardiac diseases, with a particular focus on emerging molecular scaffolds and their pharmacological properties. We discuss the fundamental principles of cardiac polypharmacology and multitarget drug design, highlighting key compound classes, such as 1,4-benzothiazepines, 1,4-dihydropyridines (DHPs), and polyphenol derivatives. Particular emphasis is placed on the relationship between the structural features and the pharmacological activity, efficacy, and therapeutic potential of these compounds.

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Publication Details

Journal
ChemMedChem
Published
2026-10-13
DOI
https://doi.org/10.1002/cmdc.70506
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Multitarget Drug Design for Cardiovascular Disease: Bridging Chemistry and Medicine

Gyuzel Yu. Mitronova, Stephan E. Lehnart, Constanze Schmidt, Vladimir N. Belov
ChemMedChem
Computational Drug Discovery Methods
article

Multitarget Drug Design for Cardiovascular Disease: Bridging Chemistry and Medicine

Gyuzel Yu. Mitronova, Stephan E. Lehnart, Constanze Schmidt, Vladimir N. Belov
article en

Abstract

This review provides an overview of recent advances in the development of multitarget drugs (MTDs) for cardiac diseases, with a particular focus on emerging molecular scaffolds and their pharmacological properties. We discuss the fundamental principles of cardiac polypharmacology and multitarget drug design, highlighting key compound classes, such as 1,4-benzothiazepines, 1,4-dihydropyridines (DHPs), and polyphenol derivatives. Particular emphasis is placed on the relationship between the structural features and the pharmacological activity, efficacy, and therapeutic potential of these compounds.

ChemMedChemVol. 21(19)
Fraunhofer Institute for Translational Medicine and Pharmacology (DE), Universitätsmedizin Göttingen (DE), German Centre for Cardiovascular Research (DE), Max Planck Institute for Multidisciplinary Sciences (DE), University of Göttingen (DE)
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
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