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Multi-Target Drugs Against Metabolic Disorders
Luciana Scotti1,2, Alex France Messias Monteiro2, Jéssika de Oliveira Viana2
1Teaching and Research Management - University Hospital, Federal University of Paraíba, João Pessoa, PB, Brazil.
Endocrine, Metabolic & Immune Disorders Drug Targets
|December 18, 2018
Summary
This review highlights in silico studies for discovering new drugs to treat metabolic disorders like diabetes and obesity. These computational methods aid in developing multi-target therapies for complex diseases.
Area of Science:
- Computational chemistry and pharmacology
- Drug discovery and development
- Metabolic disease research
Background:
- Metabolic disorders represent a significant global health burden.
- Effective treatments for multifactorial diseases require simultaneous targeting of multiple pathways.
- Metabolism involves breaking down nutrients for energy or storage.
Purpose of the Study:
- To discuss multi-target drug discovery for metabolic disorders.
- To review the role of in silico studies in rational drug design.
- To explore computational contributions to combating human metabolic pathologies.
Main Methods:
- Review of existing literature on in silico studies.
- Analysis of computational approaches in drug discovery.
- Examination of strategies for developing multi-target agents.
Main Results:
- In silico methods reduce time and cost in drug development.
- Computational approaches facilitate the identification of substances with improved therapeutic profiles.
- The review showcases various in silico contributions to metabolic disease research.
Conclusions:
- In silico studies are crucial for rational bioactive planning against metabolic disorders.
- Hybrid molecules with multi-target pharmacological activity are being developed.
- Computational approaches expand therapeutic strategies for single pathologies.
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