Guidelines for Homology Modeling of Dopamine, Norepinephrine, and Serotonin Transporters
Language English Country United States Media print-electronic
Document type Evaluation Study, Journal Article
- Keywords
- Homology-based, dopamine transporter, norepinephrine transporter, protein structure, serotonin transporter, template-based,
- MeSH
- Acetyltransferases genetics metabolism MeSH
- Drosophila MeSH
- Protein Conformation MeSH
- Humans MeSH
- Serotonin Plasma Membrane Transport Proteins genetics metabolism MeSH
- Models, Molecular * MeSH
- Drosophila Proteins genetics metabolism MeSH
- Dopamine Plasma Membrane Transport Proteins genetics metabolism MeSH
- Norepinephrine Plasma Membrane Transport Proteins genetics metabolism MeSH
- Pattern Recognition, Automated MeSH
- Sequence Homology, Amino Acid * MeSH
- Binding Sites MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Names of Substances
- AANAT1 protein, Drosophila MeSH Browser
- Acetyltransferases MeSH
- Serotonin Plasma Membrane Transport Proteins MeSH
- Drosophila Proteins MeSH
- Dopamine Plasma Membrane Transport Proteins MeSH
- Norepinephrine Plasma Membrane Transport Proteins MeSH
- SLC6A2 protein, human MeSH Browser
- SLC6A4 protein, human MeSH Browser
The human dopamine, norepinephrine, and serotonin transporters (hDAT, hNET, and hSERT) are carriers of neurotransmitters and targets for many drugs. Pioneering works in the past three years to elucidate experimental models of the Drosophila dDAT and human hSERT structures will rapidly impact the field of neuroscience. Here, we evaluated automated homology-based human models of these transporters, employing systematic physics-based, knowledge-based, and empirical-based check. Modeling guidelines were conveyed with attention to the central binding site (S1), secondary binding site (S2), and the extracellular loops EL2 and EL4. Application of new experimental models (dDAT and hSERT) will improve the accuracy of homology models, previously utilizing prokaryotic leucine transporter (LeuT) structure, and provide better predictions of ligand interactions, which is required for understanding of cellular mechanisms and for development of novel therapeutics.
References provided by Crossref.org
Ten quick tips for homology modeling of high-resolution protein 3D structures
