New design strategies for antidepressant drugs
| Autor: | Jeffry D. Madura, Christopher K. Surratt, Kalyan Immadisetty, Laura M. Geffert |
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| Rok vydání: | 2013 |
| Předmět: |
Drug
medicine.medical_specialty media_common.quotation_subject Context (language use) Bioinformatics Structure-Activity Relationship Drug Discovery medicine Animals Humans Serotonin Uptake Inhibitors Adverse effect Psychiatry Serotonin transporter media_common Virtual screening Molecular Structure Monoamine transporter biology business.industry Antidepressive Agents Drug Design Vesicular Monoamine Transport Proteins biology.protein Computer-Aided Design Antidepressant business Selective Serotonin Reuptake Inhibitors |
| Zdroj: | Expert Opinion on Drug Discovery. 8:1399-1414 |
| ISSN: | 1746-045X 1746-0441 |
| DOI: | 10.1517/17460441.2013.830102 |
| Popis: | In spite of research efforts spanning six decades, the most prominent antidepressant drugs to date still carry several adverse effects, often serious enough to warrant discontinuation of the drug. Molecular mechanisms of depression are now better understood such that some of the specific receptors responsible can be targeted for activation or inhibition. This advance, coupled with the recent availability of crystal structures of relevant drug targets or their homologs, has opened the door for new antidepressant therapeutic compounds.The authors review the evolution of monoamine-based antidepressant drugs, up to the selective serotonin reuptake inhibitors (SSRIs). The authors discuss classic and contemporary antidepressant drug design strategies, with a focus on virtual screening and fragment-based drug design methods. Furthermore, they discuss the recent advancements in the understanding of the serotonin transporter (SERT) structure/function relationship in the context of recognition of SSRIs and outline a strategy for the use of computational approaches in producing new SSRI lead compounds.The authors suggest that given the long-awaited availability of credible three-dimensional structures for the SERT and related monoamine transporter proteins, cutting-edge computational methods should be the linchpin of future drug discovery efforts regarding monoamine-based antidepressant lead compounds. Because these transporter inhibitors cause a ubiquitous increase in extraneuronal neurotransmitter levels leading to side and adverse therapeutic effects, the drug discovery should extend to appropriate manipulation of the 'downstream' receptors affected by the neurotransmitter boost. Efficient use of new computational strategies will accelerate the drug discovery process and reduce its economic burden. |
| Databáze: | OpenAIRE |
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